Risk Analytics Resume Samples

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NP
N Powlowski
Natalia
Powlowski
49627 Jolie Trafficway
Dallas
TX
+1 (555) 114 1332
49627 Jolie Trafficway
Dallas
TX
Phone
p +1 (555) 114 1332
Experience Experience
Boston, MA
Risk Analytics, Mgr
Boston, MA
Leffler, McClure and Crooks
Boston, MA
Risk Analytics, Mgr
  • Establishing polices and developing systems to validate income and assets to support the mortgage origination process
  • Create and execute queries to analyze data trends in valuation results
  • Develops and monitor project plans and performance
  • Provide timely, relevant, robust analysis to support credit-related business decisions
  • Maintain and execute department’s validation and verification applications used to assess the accuracy of financial statement valuations
  • Develops risk modeling methods
  • Manage Business UAT testing
Phoenix, AZ
Manager Risk Analytics
Phoenix, AZ
Rolfson-Stamm
Phoenix, AZ
Manager Risk Analytics
  • Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities
  • Production of regular and ad hoc performance analysis of portfolio, providing recommendations and quantifications for ongoing improvement
  • Works closely with risk analytics managers to improve business risk analytic and data gathering processes
  • Assist in redesign of Enterprise Risk source database to improve efficiencies, facilitate analysis, and shorten report generation times
  • Prepares monthly performance reports on delinquency, non-earnings, losses and watch list
  • Ensures data completeness, accuracy and timeliness working cross functionally on data reconciliation routines and data integrity initiatives
  • Enhance an integrated reporting data structure to provide information to support business decisions
present
Chicago, IL
Director, Risk Analytics
Chicago, IL
Kuhn, McDermott and Lynch
present
Chicago, IL
Director, Risk Analytics
present
  • Dealing with a range of clients and a background in FS would be beneficial
  • Develop next-generation analytic techniques/tools where existing ones are not adequate enough to address business challenges
  • Manage multiple analytics requests and priorities at the same time
  • Work with senior leaders and business partners to understand critical business problems and areas of opportunity, influence to implement recommendations
  • Manage and execute projects independently from end-to-end; work with cross-functional and cross-cultural teams to deliver on these projects
  • Foster analytic competency to support and increasingly guide fact-based and timely decision-making
  • Continuously strive to increase the value that Risk Analytics brings to Visa and our clients
Education Education
Bachelor’s Degree in Finance
Bachelor’s Degree in Finance
Georgia State University
Bachelor’s Degree in Finance
Skills Skills
  • Good knowledge of financial engineering, statistics and data analysis
  • Strong Foundation in Market or Credit Risk
  • Ability to interpret regulatory items
  • Knowledge of financial services industry is of advantage
  • Numerate and financially literate
  • Advanced programming skills
  • Has experience across a broad range of topics including planning and organisation, communications, control and relationship building
  • Significant experience in office management; and
  • Experience in supporting multiple Managing Directors and Directors at the same time
  • Contribute to the design of analytical solutions in response to risk issues
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15 Risk Analytics resume templates

1

Director, Risk Analytics Resume Examples & Samples

  • Working with a variety of clients in a number of different industries, within an internal audit and external audit capacity, as well as working with other EY teams in our Assurance business. As a Director for the Risk Analytics, team, you will need to build a strong network internally and be able to exceed our clients’ high expectations
  • Acting as a lead for Data Advisory and have experience of delivering technology risk propositions (including regulatory compliance)
  • Dealing with a range of clients and a background in FS would be beneficial
  • Demonstrate a significant background in building fit for purpose and sustainable infrastructure solutions. As well as high impact analytics assurance delivery
  • Candidates will need to have an advanced level understanding of audit and accounting processes - essential
  • Knowledge of ERP systems (preferred), controls and processes and being able to make use of data analysis tools
  • A solid understanding of data manipulation for reporting is required and candidates would be expected to be familiar with the concepts of a data model- such as SQL & reporting/analysis tools
  • Having a consultancy/Big 4 experience is vital and Director candidates will need to hold high level qualifications in Information Systems (CISA)
  • Sales and business development
  • Delivery of Risk Analytics engagements
  • Development of data analytics with Internal Audit methodoloy
  • People management to fulfill the role of local leader in London to coach and develop the team Suitable candidates will hold CISA or ISACA qualifications as well as a degree/masters in Information Systems
2

Mortgage Risk Analytics Senior Resume Examples & Samples

  • Perform daily P&L reporting and risk attribution of Mortgage Capital Markets Secondary marketing activities
  • Perform analysis and benchmark reporting on modeled market risk factor sensitivities to ensure accuracy of risk exposure reporting for position management
  • Coordinate with Capital Markets trade desk on research and analysis of factors influencing reported daily P/L results
  • Support control functions related to capital markets IPV processes
  • Support Secondary Marketing model performance monitoring and maintenance needs
  • Implementation and Maintenance of P&L, risk reporting
  • Developing quantitative/analytic models and applications
3

Risk Manager, VP-risk & Analytics Resume Examples & Samples

  • Working with accounting, finance, default, and servicing to ensure consistency of the monthly loss forecast
  • Strong collaboration across Mortgage Banking and corporate risk management functions as well as accounting and finance
  • Model review/governance group and both internal and external audit
  • Provide documentation and presentations for periodic project monitoring reports and updates to senior management
  • Master's degree preferred in a field that provides a strong background in finance, economics and statistical methods
  • 3-5 years experience of data handling and programming skills in SAS and Excel
  • Detailed oriented and well organized with the ability to work independently & manage projects and deadlines
  • Demonstrated problem solving and a proven track record of getting things done. Must have good judgment with the demonstrated ability to think creatively and strategically
4

Risk Director, VP-risk & Analytics Resume Examples & Samples

  • Ten plus years analytical , modeling, and/or Risk Management experience
  • B.A. / B.S. in Economics, Finance, Statistics, Mathematics, Operations Research or other quantitative fields
  • Prior experience forecasting credit losses, or experience in a highly analytical financial planning and analysis function is required
  • Familiarity with statistical modeling approaches a plus
  • Knowledge of SAS, SQL, Unix, and other data programming languages also desirable
  • Good understanding of data validation processes
  • Understanding of capital stress testing requirements
5

CCB Risk Analytics Resume Examples & Samples

  • Bachelor's degree or relevant work experience in business administration, complex project management, or relationship management in the financial services industry
  • 7 years professional experience, including 3 years of project management or project support experience
  • Strong oral and interpersonal skills; superior organization, planning and program management skills; autonomous, independent decision making
  • Ability to use business judgment to guide analysis, draw implications from analysis, and synthesize into clear communications, and successfully operate in a matrixed environment using multiple influencing tactics to get results
  • Proficiency with standard project management applications, including MS Excel, MS PowerPoint, MS Project, Visio, and SharePoint
6

CCB Risk Analytics Resume Examples & Samples

  • Enterprise data systems and databases such as Oracle, DB2, Teradata, Greenplum, and Hadoop
  • ERwin, Visio, or equivalent
  • Dimensional and relational data modeling
  • Database tuning for performance inside of Parallelized database Models (indexing, AJIs, etc)
  • Advanced SQL scripting and optimization
  • Logical, Phyiscal and Semantic Layer Modeling
  • Large scale corporate datamarts, and resolving inconsistencies and challenges
  • Clear and concise presentation and requirement gathering skills
  • Relationship building and networking
7

CCB Risk Analytics Resume Examples & Samples

  • Practical expertise in contemporary analytical/data science methods: predictive modeling (CHAID/CART, generalized linear models, nonlinear models, machine learning methods); segmentation (cluster analysis, latent class analysis); and construction of designed experiments
  • Experience with some or all of: SAS, R, SQL, Hadoop and Greenplum
  • Excellent analytical skills with a track record in defining customer strategies through the use of data and analytics
  • Powerful communicator who engages colleagues, business partners, external stakeholders, and employees. Confident presentation and facilitation skills and strong interpersonal and leadership skills to facilitate working with senior management at all levels
  • Developing and communicating business recommendations and insights in easy to understand way leveraging data to tell a story
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence
  • History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term
  • Be known for providing creative thought leadership while also listening and engaging others to provide input in the shaping of that vision
  • Demonstrated experience successfully leading a large scale change initiative. Strong knowledge of the related regulatory environments
  • Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others
  • Lead and persuade others while positively influencing the outcome of team efforts
8

Head of Market Risk Analytics Executive Director Resume Examples & Samples

  • UK specific continuous Market Risk Model enhancements and implementation
  • Work with Global Product heads to formulate strategy
  • Development and enhancement of market risk models to ensure they meet our regional requirements for risk managers and of regulators
  • Ongoing Monitoring and Evaluation of Models including various backtesting, RNIV framework etc
  • Regulatory related analysis and communication on Market Risk Models: VaR, Stressed VaR, IRC, CRM and RNIV
  • Input into the Model Validation process
  • Oversee conduct quantitative impact studies (QIS), benchmark exercises and support stress testing activities
  • Manage team of skilled technical analysts
  • Up-to-date working knowledge of regulatory requirements and change, specifically those emanating from Basel and European regulatory authorities including PRA
  • Demonstrable experience in managing teams working on risk models
  • MSc or PhD, or equivalent, in a highly quantitative subject such as maths, physics, or engineering
  • Independent thinker and able to provide a vision for taking the team forward
  • Good communication and relational skills
9

Market Risk Analytics Resume Examples & Samples

  • Production, Maintenance and continuous enhancement of VaR across all Market Risk (VaR, Stressed VaR, IRC, CRM) and Stress Testing Models
  • Analysis of model inputs and outputs to ensure risk numbers are as expected
  • Work closely with Risk Monitors, Methodology team, IT, Audit and Regulators in implementation of new market risk methodologies and models, testing, analysis of changes, documentation and oversee complete roll out
  • Design and develop processes and controls to maintain strict governance across all Production models
  • Enhance and streamline Risk Engines and processes by identifying infrastructural enhancements and data gaps
  • Assist in Regulatory and Audit review of VaR models
  • Minimum of a Master’s degree in a quantitative discipline such as Engineering, Mathematics, Statistics or Economics
  • 2 years of experience in a Market Risk role, preferably within a Market Risk Analytics or Methodology group
  • Experience with and understanding of Basel 2.5 models and regulatory market risk guidelines will be considered a plus
  • Experience using tools such as R and Matlab for statistical and econometric analysis
  • Proficient in database query languages, Excel and VBA
  • Comfortable with analyzing large datasets with strong attention to detail
  • Ability to present complex issues clearly, both verbally and in writing, is essential
  • Ability to work under tight deadlines in addition to project management skills to manage long term deliverables is a must
10

Mortgage Risk Analytics Senior Resume Examples & Samples

  • Support the daily operation of the QRM Mortgage Banking system to generate daily valuation and risk exposure data on Secondary Marketing exposure and hedge positions
  • Assist with the development and testing of model parameters and assumptions relating to risk and valuation configuration of underlying Yield Curve, Prepayment, and Fallout modeling performance
  • Ensure the accuracy and completeness of daily Portfolio, Market, and Trade data loads
  • Designing and implementing risk reporting
11

Market Risk Department Risk Analytics Resume Examples & Samples

  • The position requires the ability to undertake research, modelling, development and analysis to ensure appropriate modelling and capture of risk, regulatory capital calculation, ongoing compliance with regulatory requirements, as well as the ability to communicate effectively
  • The position will require understanding the Value at Risk (VaR), Regulatory Stressed VaR modelling and regulatory capital framework, including the production, maintenance, documentation and continuous enhancement of the models
  • The role will require the ability to analyze and understand changes to VaR due to model/position changes, to ensure that the changes are as expected
  • Responsibilities also include responding to audit, model validation, regulatory requests on a timely and accurate basis and working closely with other Market Risk departments
  • The position requires interacting with various Risk departments within the Firm including Market Risk, Credit Risk and Risk IT
  • Masters/Ph.D. in a quantitative field such as Finance, Economics or Mathematics, or equivalent
  • Strong communication, leadership and project management skills (role requires effective collaboration and
  • Experience using tools like R and Matlab for statistical and econometric analysis and familiarity with database query languages, proficiency in Excel and VBA
  • Familiarity with regulatory documentation and rules is helpful
12

Senior Manager Operational Risk Analytics & Capital Resume Examples & Samples

  • Bachelor’s or Master’s (preferred) Degree, or equivalent
  • Minimum 15 years of experience in financial services industry
  • Minimum of 10 years of experience in Risk Management, with specific experience in ORM
  • Sound understanding of risk management principles with strong analytical skills
  • Proven leadership qualities partnering with both 1LOD units and 2LOD functions – good stakeholder management skills are important
  • Experience of presenting at senior level committees and capable of enhancing the existing risk governance structure
  • Strategic mindset, with excellent knowledge and understanding of working in a large, complex global organization
  • Maturity level and skill/judgment to be able to deal effectively with senior managers
  • Strong problem solving, analytical (including qualitative analysis), research, and quantitative skills
  • Able to build and lead a high performing team – manage, motivate, attract and inspire colleagues on the team
13

Counterparty Risk Analytics Resume Examples & Samples

  • Working with business unit and Credit Risk Mgmt in evaluating new clients and determining the appropriate margin levels based on a quantitative and qualitative analysis of the customer's portfolio, trading strategy, risk management controls and historical performance
  • Enhancing margin/risk lending policies in order to better evaluate and monitor risk assessment and management processes and procedures (for example cross product and risk-based margining)
  • Facilitating client portfolios analysis (based on value-at-risk, stress testing, concentration and liquidity analysis) to ensure margin requirements adequately cover the potential exposure from customer portfolios in accordance with the firm's margin lending guidelines
  • Continuing development of the collateral management’s risk management infrastructure and methodologies for monitoring the underlying market risk of the client's portfolios within the fixed income financing business
  • Working with Business Managers, legal, operations and compliance in evaluating the market and credit risk associated with new products & structures as well as determining the necessary controls and margin requirements for new products
  • Liaison with other Collateral functions to facilitate cross-product margining and support the growth of this business through tactical and strategic developments
14

Analyst, Risk Analytics Resume Examples & Samples

  • Supports development of comprehensive documentation and testing of risk management framework (including technical, results, computer code documentation, and report automation tools)
  • May have direct interaction with committees and/or management
  • Delivers work product that requires little revision
15

Analyst, Operational Risk Analytics Resume Examples & Samples

  • Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements
  • Carries out complex activities with significant financial, client, and/or internal business impact
  • Delivers a work product that requires little revision
16

Manager, Risk Analytics Resume Examples & Samples

  • Participate in developing division strategic plan and sets goals and priorities based on the direction set for the unit; follow through to ensure that objectives are met
  • Lead discussions with model owners, regulators and internal audit
  • Oversee the maintenance and enhancement of tools and techniques used to support model testing
  • Develop processes to improve validation efficiency
  • Ensure the model validation process is effective, repeatable and in compliance with key regulatory guidance (SR 11-7)
  • Provide leadership and guidance to staff, fostering an environment that encourages employee participation, teamwork, and communication
  • Responsible for direct interaction with and oversight of staff interaction with key committees and all levels of management
  • Keep pace with the latest developments in academia, regulatory environment, and financial services industry in order to provide expert guidance to quantitative analysts
17

CCB Risk Analytics Resume Examples & Samples

  • Legal – Ensuring we are adhering to sound legal and regulatory principles in regards to permissible usage of variables in scores and strategies
  • Controls – Ensuring we are adhering to all internal and external control principles
  • Model Governance – Ensuring any and all processes, reports, documents, or other outputs generated by the CCBRA team follow the expectations of the firms Model Review and Governance teams
  • Data Stewardship – Ensuring all variables utilized, synthesized, or manufactured by the CCBRA team follow the firm’s Data Management and BCBS rules and regulations, along with all metadata management
  • Quality Control – Ensuring that items already in place adhere to the above principles and are compliant
  • Master's degree or relevant work experience in a business related discipline or in the financial services industry
  • 10+ years professional experience
18

Risk Analytics Ssociate Resume Examples & Samples

  • Perform quantitative analysis and modeling on counterparty credit risk per requirements of internal risk management and regulatory compliance including Basel II and Basel III
  • Interpret the applicable regulation rules and design implementation plans specific to the firm's status quo. Perform user acceptance testing
  • Perform quantitative model testing, validation, and enhancement, as well as stress and back testing for the counterparty credit risk exposure measurement models, including Monte Carlo simulation, pricing and valuation models, margining, netting and aggregation models
  • Perform business analysis on the firm’s existing system, data, model and processes within the context of risk management and regulatory implementation
  • Work directly with credit officers to evaluate proposed trades and advise them on credit limit setting and monitoring, and use of credit risk management tools, including credit terms, netting rules and collateral management
  • Evaluate counterparty exposure of proposed derivative trades that are too complex to be covered by the firm’s exposure models in production
  • Work closely with credit officers and with traders as the deal is structured. Develop prototype models to calculate exposure of new or exotic products
  • Program, test and implement quantitative financial methods using C++, VBA, Matlab, and SQL. Utilize advanced statistics and mathematics skills including options pricing theory, stochastic calculus, Monte Carlo simulation, numerical analysis and optimization techniques, probability theory, and time series analysis
  • Advanced degree (M.S. or PhD) in a quantitative discipline, e.g., economic, mathematics, or finance with a quantitative undergraduate background
  • 3 to 5 years work experience in a quantitative research group at a commercial bank, investment bank, or consulting firm
  • Direct experience with Basel 2 IMM/Basel 3 approach in calculating regulatory capital
  • Good communication skills and articulation abilities of both verbal and written are desired
  • Experience with Monte Carlo simulation and numerical analysis would be desirable, but not required
  • Statistical skills (e.g., probability theory, time series analysis) and facility with statistical packages would be desirable but are not required
  • In-depth knowledge of option pricing and stochastic calculus
19

CoB Risk Analytics Resume Examples & Samples

  • Standardization and centralization of IT Risk data, reporting
  • Automation and Efficiency implementation; Progress/ Tending/ Forecasting/ Metrics Reporting
  • This will include supporting the facilitation and co-ordination of the annual denial of access testing, denial of service testing and the completion of the semi-annual call tree tests. At time of crisis, you will be expected to support the local Belfast Crisis Management process as well as the supplement global crisis management processes as needed
  • Strong understanding and knowledge of VBA to automate reporting tasks in Access and Excel
  • Knowledge of QLinkView a beneficial
  • Aptitude in management information systems, data structures, data analysis, report generation
  • Working knowledge of management information systems, data structures, data analysis, report generation
  • Takes responsibility and demonstrates ownership of issues demonstrating management control of delegated tasks
  • SharePoint; Strong understanding of relational database concepts and data modeling
  • Ability to write simple to moderate SQL queries
20

Ba Pa Risk Analytics Resume Examples & Samples

  • Management Support 100%
  • Organise a wide range of meetings, functions, lunches, both at internal and external venues
  • Book travel, flights, hotel and air etc through HRG (Barclays preferred travel supplier). Plan itineraries, visas, foreign currency, medical requirements etc. as required
  • Reconcile expense accounts using the Barclays internal processes and tools
  • Using the Barclays in-house purchasing system set up Purchase Orders and New Vendors, following through ensuring the process is completed
  • Set up new starters ensuring the relevant kit i.e. lap top, email account, mobile phone, blackberry, landline, security pass and inductions are organized, completed and delivered in a timely manner. Ensure all kit and accounts are returned / disabled when staff members leave Barclays or transfer internally within the bank
  • The jobholder undertakes a wide range of other administrative duties. e.g. completing monthly expense claims forms, reconciling the monthly Barclaycard bill, paying invoices, ordering stationary
21

CCB Risk Analytics Resume Examples & Samples

  • Producing reports summarizing data quality, validation results, and portfolio performance; identifying adverse credit quality trends; and profiling different segments of the portfolio
  • Effectively communicating results from empirical analysis to senior management
  • 3+ years analytical experience, preferably in mortgage banking and credit risk management
  • Knowledge of SQL, Unix, and other data programming languages also desirable
  • Good communication skills; able to translate technical data into simple business presentations
22

Manager Risk Analytics Geca Hq Resume Examples & Samples

  • Deliver timely and accurate content for business segment and HQ reporting
  • Establish & build relationships with business segment CCO's, Loss Mitigation and Finance Managers to facilitate understanding of portfolios, drivers and trends to enable action for loss mitigation
  • Develop a thorough understanding of portfolios and risk reporting processes, Credit quality, delinquency, non-earnings, losses, reserves, capital allocation products and
  • 0 to provide portfolio transparency and meaningful analysis
  • Bachelors Degree and 6+ years of Risk management or Finance experience or High School Diploma/GED and 10+ years of Risk management or Finance experience
  • Eligibility Requirements
  • Highly proficient and experienced in Microsoft Office tools Excel, PowerPoint, etc.. The role requires use of Business Objects to deliver reporting results. Experienced in SQL, SAS, VBA and other programming languages and Spotfire desired
  • Strong experience working with multiple datasets and potentially manual data handling
  • Skilled in driving process improvement in the creation and analysis of reporting and to collaborate with the Risk Reporting team to develop more accurate and efficient ways of creating and delivering information to customers
  • Capacity to think strategically and drive changes for clarity and efficiency and develop well considered analytic approach to address ad-hoc requests from senior management
  • Proficient in creating robust documentation to ensure replication of results and fulfill governance and compliance requirements
  • Demonstrated capacity to maintain focus while handling numerous projects and priorities. Project management skills helpful
  • Experience in credit risk reporting or comparable reporting related background
23

CCB Risk Analytics & Modeling Resume Examples & Samples

  • Minimum of 3 years experience in Consumer Risk Management for a financial institution
  • 3+ years extensive hands-on experience in SAS and strong in SQL
  • Mortgage products, servicing, finance, credit risk background preferred
  • Prior experience in automating and consolidating reports is a plus
  • Preferred Advanced degree in a quantitative subject, such as Economics or Finance, Mathematics, Statistics, Operations Research
  • those who don’t meet the requirements can be considered for a Risk Analyst I, Officer/Associate level role
24

Manager Risk Analytics Resume Examples & Samples

  • Calculate Expected Loss and Collective Allowance for performing loans and generate reports needed to communicate changes to stakeholders
  • Generate reports related to the Credit Risk Appetite
  • Maintain the interface with the source production environment(s) and ensure reporting tools run smoothly inspite of increasing reporting volume and amounts of data
  • Automate, and test new reports revise existing outputs as required
  • Assist in redesign of Enterprise Risk source database to improve efficiencies, facilitate analysis, and shorten report generation times
  • Conduct business testing and reasonability reviews for GRM and Finance projects
  • Enhance reporting capabilities by improving analytical programs
  • Analyze portfolio movements related to various measures (Authorized, Outstanding, Loans and Acceptances, Collective Allowance)
  • Design and automate new reports or revise existing reports in accordance with guidance provided by the Board, Executive Management, or regulators
  • Test enhancements/changes to existing data sources and identifying, monitoring, and communicating data quality issues
  • Develop knowledge of other reports generated by the risk analytics team to contribute to the bench strength of the team as a whole
  • Advanced knowledge Base SAS, Access, Excel, relational databases, and data mining. Ability to run queries in different environments, and aggregate data from several sources in various formats
  • Strong programming, technical, and analytical skills
  • Detailed knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential
25

Manager Risk Analytics Resume Examples & Samples

  • Assist in development of tools to summarize, analyze and report key risk metrics
  • Knowledge of finance, derivative products, and Counterparty Credit Risk measures
  • Experience in software development (2 years minimum) with exposure to C++ and Python
  • Experience in a relational database design and development
26

Ccb-risk Analytics Resume Examples & Samples

  • Explain scientific and technical ideas in simple language
  • Meet with cross-LOB executives to establish technical specifications
  • Create end-user documentation for all CCBRA data; data dictionary, capture logic, business purpose
  • Ensure technical verbiage is easy to understand by the layperson
  • Write clear and concise policies and procedures
  • Knowledge of Chase IT tools such as ITSM and PPL are a plus
  • Demonstrated ability to work in a team environment and flexibility in priorities and a changing environment
27

Bloomberg Portfolio & Risk Analytics Resume Examples & Samples

  • Minimum of 5 years working in OR selling to the buy-side (i.e. pension funds, investment advisors, mutual funds) or 5 years Bloomberg sales experience
  • Proven consultative sales and customer relationship skills
  • Ability to build and maintain solid client relationships
  • A self-starter, proactive team player with strong multi-tasking
28

Global Small Business Banking Risk Analytics Manager Resume Examples & Samples

  • Lead critical and increasingly complex regulatory-driven projects, including CCAR / DFAST, Basel Retail and Model Management
  • Support credit policy and portfolio management projects for the SBB segment
  • Interface with Risk, Business, Finance, IT & FCR / Audit partners at all levels (including seniors) across Citi & around the globe
  • Semi-annual stress test for CCAR / DFAST for Small Business Work Stream, including ongoing enhancement of stress test models for major portfolios
  • Quarterly data submission for CCAR for Small Business Work Stream
  • Commercial DM (Retail) Basel Governance and Attestation processes
  • Regulatory-driven projects, including Retail Optima
  • Credit policy and portfolio management initiatives for SBB
  • 8-15 years in risk management (preferably spanning both Commercial DM & CM), with deep experience in regulatory matters and system projects, especially for Commercial DM portfolios
  • Very strong quantitative skills, including intermediate to advanced knowledge of risk modeling (preferably including SAS and ARIMA techniques), statistics, financial reporting and credit analytics
  • Highly proficient in database management, including ability to work with large data sets
  • Highly proficient in MS Office – (Excel, Access, PowerPoint)
  • BS or BA; MBA or equivalent preferred
  • Very strong hands-on leadership skills in demanding environment, including ability to work independently, prioritize workload, demonstrate attention to detail and meet strict deadlines
  • Very strong written and verbal skills, including ability to communicate concisely and clearly with senior management, peers and junior staff
  • Very strong influencing and interpersonal skills, including ability to work in teams as well as willingness to take initiative and expand responsibilities rapidly
29

Manager Risk Analytics Resume Examples & Samples

  • Works closely with risk analytics managers to improve business risk analytic and data gathering processes
  • Pulls data from source systems
  • Prepares monthly performance reports on delinquency, non-earnings, losses and watch list
  • Develop and maintain ETL processes around risk related data from multiple sources using both base SAS and SAS DI studio
  • Automate SAS processes in a UNIX environment
  • Proficient in base SAS including macros and PROC SQL; SAS certifications are a plus. Knowledge of computer language would be a plus
30

Manager Risk Analytics Resume Examples & Samples

  • Portfolio Diagnostics through the use of statistical tools and techniques
  • Production of regular and ad hoc performance analysis of portfolio, providing recommendations and quantifications for ongoing improvement
  • Analyze portfolio performance against the financial targets
  • Help the Risk team implement Data warehousing and Business Intelligence Tools
31

Senior Manager, Portfolio Risk Analytics Resume Examples & Samples

  • Conceive, design & monitor credit risk management strategies to improve portfolio profitability
  • Determine the impact of strategy changes on delinquency and credit losses
  • Communicate concise and actionable business strategies from vast amounts internal and external data
  • Partner with key business areas such as Technology, Modeling and Product Development to implement strategy changes
32

Market Risk Analytics Resume Examples & Samples

  • Leading and managing the FRTB capital calculations and analysis team
  • Becoming the Subject Matter Expert (SME)on Basel's proposals on FRTB and being able to identify and challenge weaknesses under the new proposals
  • Represent the bank on industry working groups and lead discussions with regulators
  • Leading discussions on FRTB proposals and capital implications with stakeholders, including senior front office, risk, Product Control (PC)and finance heads and as well as senior risk committees
  • Be accountable for team's deliveries including quantitative impact studies (QIS), various capital management information and presentation materials for both internal and external stakeholders
  • Working closely with stakeholders (including project managers, risk managers, risk methodology) to determine how prototype calculations can be implemented strategically
  • Excellent market risk experience
  • Previous team management experience essential
  • An excellent understanding of the current market risk capital framework
  • Exceptional written and verbal presentation skills to senior MD audiences
  • Ability to lead discussions and identify solutions
  • Solid understanding of market risk VaR methodologies and quantitative skills
33

Senior Director Risk Analytics Resume Examples & Samples

  • Visa's authority for fraud data, manage fraud data standards/definitions and owner of fraud reporting policies and principles
  • Ensure effective prioritization of analysts given slate of projects
  • Define and implement a robust and comprehensive Risk data strategy to support a broad range of metrics, reports, analyses, forecast and projections
  • Act as a thought leader, providing management and country risk teams with recommendations for optimizing risk performance derived from data insights
  • Work closely with in-market analytics team and different functions within Visa in ensuring global consistency in the data management, metrics and reporting
  • Support the development and distribution of reports for key external partners including financial institutions, merchants, government and strategic partners
  • B.S/B.A. degree in Sciences, Mathematics, or Statistics; MBA or equivalent advanced degree strongly preferred
  • 15 years of progressive experience leading analytical teams, conducting data analysis in large complex data sets, strategy and research
  • Financial services, payments and risk management industry experience is a must, preferably at a large credit card issuer
  • Extensive database, data visualization, data analysis, reporting, data mining, data warehousing, and risk analytics experience
  • Leadership and management skills - committed to motivating team members contributing from various collaborative team-based projects
  • Having a passion for identifying the key findings that can be learned from the data
  • Demonstrated ability to deliver on large-scale analyses with significant business impact and effective at building insights from research, data collection and analysis
  • Must be a high energy, motivated team player with ability to effectively lead cross-functionally teams in a matrix organization and collaborate with internal and external stakeholders
34

Risk & Analytics Summer Intern Resume Examples & Samples

  • Generate PowerPoint Presentations for meetings with clients and prospects and make sure that they are Willis Brand compliant
  • Complete Willis system entries and ensure accuracy of such
  • Ability to Apply Basic Mathematical Concepts
  • Strong Interpersonal Skills and Team Orientation
  • Innovative Thinker and Creative Problem Solver
  • Proven Public Speaking and Presentation Skills a Plus
35

Ccb-credit Risk-mortgage Banking Correspondent Risk Analytics Resume Examples & Samples

  • Manage the risk analysis and approval of the few Chase Mortgage Insurance Counterparties, and other mortgage type of counterparties that arise
  • Identify, analyze and report key risk metrics including early warning indicators
  • Partner with the Correspondent Business finance and analytics team to ensure a robust set of Correspondent Risk Analytics
  • Utilize analytics to track and report on Correspondent Portfolio Risk trends and to ensure Correspondent level risks are detected and addressed in timely manner
  • Manage and track the risk of the bulk Coissue product, including approval and ongoing risk management process
  • 10+ years experience within a Mortgage Banking Risk or Mortgage Warehouse Lending Risk function
  • 5+ years' experience in financial analytics
  • 5+ years experience managing third party originator risk
  • Strong understanding of mortgage banking and bank financial statements
  • Experience with the risk analysis of Mortgage Insurance Counterparties or the ability to get up to speed with such in a short period of time
  • Current experience of operating successfully with senior management level business partners and counterparty senior management
  • Excellent organizational, oral and written communication skills and ability to work across multiple areas of the business
  • Skilled at completing special projects and reports of the highest quality to reflect the status of the Correspondent Portfolio Risk
36

Risk Analytics Senior Resume Examples & Samples

  • 2+ years of experience in a related role required
  • 3+ years of SQL programming experience
  • 2+ years of SAS or R programming experience
37

Senior Risk Analytics Manager Resume Examples & Samples

  • Develop and optimize credit risk strategies for Residential Mortgage, Home Equity Loans and Home Equity Lines using analytical techniques and statistical analysis to meet pre-defined goals
  • Build credit risk strategies for originations, account management and collections
  • Meet strategic business targets for auto-decisioning / pre-qualifications where appropriate
  • Develop risk based pricing models and strategies to meet ROE / RAROC targets
  • New quantitatively driven challenger strategies and pilot programs across the customer lifecycle
  • Must meet credit history and criminal background requirements associated with Financial Industry Regulatory Authority registration process, to include FBI fingerprint criminal history, review of credit report, civil litigation, liens, and other public records
  • Bachelor’s degree, with MBA degree preferred
  • Excellent programming skills in SAS, MatLab or VBA
  • Banking experience with 3-5 years in credit risk management or financial analysis
  • Exposure to statistical modeling
  • Strong communication, interpersonal and organization skills with an ability to effectively execute tactical plans
38

Analyst, Risk Analytics Resume Examples & Samples

  • Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
  • Process orientation with strong technical skills and attention to detail
  • Basic understanding of financial loan system(s), credit products, and Basel II framework preferred
  • Technical skills / systems knowledge (e.g. SAS, Matlab, Advanced Excel) is preferred
  • Supports internal risk rating system. Ensures that the risk rating system framework meets needs of internal constituents and regulatory requirements
  • Helps to resolve credit risk issues and enhance overall credit risk framework. Works with Credit Policy Group to ensure that risk management policies/processes and quantitative modeling approaches are consistent
  • Contributes to communication and training efforts to promote understanding of credit risk management throughout the company
  • Ensures that risk rating models meet both internal corporate needs and regulatory requirements related to Basel II
  • Participates in developing, implementing and monitoring risk rating models
  • Responsible for direct interaction with various committees and/or management
  • An advanced degree in related field (math, statistics or economics) or equivalent career experience preferred
  • 1-3 years of credit risk modeling related experience
  • Working knowledge of SAS and Excel strongly preferred
  • Understanding of basic bank/credit accounting and finance principles; loan or GL system experience, Basel II knowledge a plus
  • Understanding of data governance/quality principles
39

Cib-performance & Risk Analytics Resume Examples & Samples

  • Timely and accurate delivery of performance reports, including attribution, contribution, risk, and other analysis, to clients
  • Co-ordination with offshore locations to ensure timely and accurate preparation of reports
  • Understanding the performance methodology used in the Performance system – relevant performance experience will be an advantage
  • Review and update client procedures, to ensure the month-end process is efficient and executed with appropriate control
  • Maintaining client relationship through query management and regular client interaction
  • Participate in ad-hoc projects as required
  • Participate in standardised and centralized functions as required
  • Collaborate effectively with team members and other departments
  • Degree level qualification in Accounting, Mathematics, Economics, Statistics or Finance or similar discipline
  • Current progress towards or completion of a relevant postgraduate qualification such as Graduate Diploma in Applied Finance and Investment, Masters Degree, Certificate in Investment Performance Measurement, or Chartered Financial Analyst (CFA) Charter preferred
  • At least 3 years of relevant financial analysis experience in financial services or a related area
  • Proven ability to effectively utilize the functionality of core applications and analyze large datasets
  • High level of proficiency in Excel with the ability to interrogate data and maintain customized client report templates
  • Experience in the funds management industry in a performance measurement, operations or accounting role would be highly regarded
  • Demonstrated numerical ability and analytical skills
  • Sound knowledge of financial markets and products
40

Global Market Shock Risk Analytics Resume Examples & Samples

  • Support the Bank’s Global Market Shock analytic team in analysis, and documentation of CCAR GMS results as well as any other adhoc shock based stress testing results
  • Review and challenge assumptions and procedures developed by FO, Risk, Treasury and Finance modeling teams
  • Work closely with audit and model validation teams in order to find and improve weaknesses in CCAR models
41

Senior Analyst, Market Risk Analytics Resume Examples & Samples

  • Produce the requisite risk reports for structural market risk exposures and ensure that exposure and limit monitoring are accurate and timely
  • Develop and improve reporting functionality with proficiency in the data flows and systems used to calculate structural market risk
  • Work with management to supplement reporting capabilities with forecasts and projected changes to the balance sheet
  • Document the reporting and data processes to comply with BCBS239 (RDARR) requirements
  • Understand the modelling assumptions used to model structural market risk (e.g. deposit lives, behavioural assumptions, valuation, etc.)
  • Experience with structural market risks and methodologies
  • 2+yrs of experience in ALM, treasury trading desk or other relevant application
  • Well-developed understanding of the banking industry, bank balance sheets and income statement dynamics
  • Strong ability to address and resolve complex or abstract problems
  • Ability to work accurately in a very time sensitive environment
  • Ability to prioritize and organize multiple tasks and deadlines
  • Advanced degrees and/or professional designations are a plus
42

Senior Manager, Market Risk Analytics Resume Examples & Samples

  • Business Delivery & Operational Effectiveness (Strategy)
  • Research industry best practices with respect to structural market risk modeling and methodology and recommend appropriate enhancements that support the long term strategic management of the Bank’s structural market risk
  • Participate in the development and recommendation of enterprise wide structural market risk strategies to senior management
  • Participate in the development of structural market risk policies, limits and guidelines
  • Recommend, develop, validate, implement and obtain stakeholder approval for risk and valuation models and methodologies in support of best practice structural market risk measurement and management
  • Monitor the financial market environment and trends of retail product volume and term preference for optimal execution of approved risk management strategies
  • Advisory –Has the authority to provide advice and counsel within Corporate Treasury and across the Bank with respect to structural market risk strategies, models and methodology
  • Recommending- Has the authority to recommend strategies, policies, procedures and standards for BMOFG
  • Monitoring - Has the authority to collect or be provided with the required information from others to when determining effectiveness of risk management practices and analyzing market risk positions
  • Auditing - Has the authority to examine work of others to ensure compliance with all Corporate Treasury risk regulatory and governance requirements
  • Approve - Has the authority to approve model changes and implementation within compliance with the Bank’s Model Risk Standards
  • Information Access – Has authority to access and utilize financial information
  • Managerial – Has managerial authority to hire and manage as approved opportunities arise
  • Coordinating – interact with many groups including Risk Measurement Group, Enterprise Market Risk Group and BMO Financial Corp. ALM within Corporate Treasury, Capital Market traders, Financial Strategy Group, Back Office, LOBs, Chief Accountant’s Group for the measurement and hedging of risks, the operational process related to hedge transactions
  • Advising– advise many groups including LOBs and Finance across the Bank on with various issues including market risk in new products, option costs for customer product pricing, implementation of new models and market risk strategies and how they will be affected
  • Monitoring– interact with Market Risk Measurement Group and Market Risk Management Group for the monitoring of structural risks. Monitor and assist junior staff members to ensure structural market risk models and strategies are properly implemented with the support of LOBs, Model Risk Vetting and other Finance areas
  • BSc/B.Math in a quantitative field (Math, Stats or Engineering)/BA (Economics, Commerce), FRM or CFA with a PhD/Masters degree in quantitative Finance/Mathematics/Science/Engineering or equivalent work experience in quantitative finance
  • 9-11 years experience in one or several of capital markets, asset liability management, derivative pricing, and risk management, with exposure to one or more of the following: retail/commercial/corporate or investment banking
  • In-depth knowledge of mathematical and statistical methodologies used in financial risk measurement (e.g. Monte Carlo methods, option valuation models, regression and calibration techniques etc.)
  • Sound knowledge of market conventions, hedging strategies and risk management
  • Knowledge of best practices in quantitative modeling and experience with development and implementation of financial models
  • Strong knowledge of programming languages and techniques
  • Knowledge of Quantitative Risk Management (QRM) 3rd party software
  • Understanding of Bank structure, information and trading systems
  • Excellent project and time management skills
  • Excellent leadership and interpersonal skills, capable of maintaining effective working relationships with colleagues at all levels and leveraging resources across various areas of the bank
  • Superior analytical and financial modeling skills with the ability to quickly understand details of financial derivatives assess a variety of factors and recommend solutions for complex problems
  • Ability to manage multiple tasks in fast paced and evolving environment and meet timelines without compromising the integrity of the information
  • Ability to influence others to accomplish assigned tasks
  • Comfort and experience dealing with executives
  • Creative and conceptual thinker
  • Forward thinker able to see the ‘big picture’, understand and communicate implications of recommended strategies or model changes to key stakeholders across the bank
  • Strong organizational skills with the ability to manage projects and the flexibility to adapt to evolving and changing priorities
  • Strong proficiency in Excel, and VBA or other programming languages
  • Comfort and experience working with large data sets
43

Manager Risk Analytics Market Risk Measurement Resume Examples & Samples

  • Assist in development and source control of tools to summarize, analyze and report key risk metrics
  • Provide timely and accurate calculations and reports for various internal and external stakeholders, including business lines, senior management, and regulators
  • Support counterparty credit risk capital model development for various products such as OTC, ETD and SFT
  • Collaborate with other groups in Risk Management, Financial Engineering, Finance and various business lines in order to ensure that initiatives are based on sound risk management principles
  • Experience in Unix shell scripting or other scripting languages
44

AVP, Market Risk Analytics Resume Examples & Samples

  • Develop and refine quantitative risk models across multiple asset classes. Maintain existing models and calibrate model parameters. Review model output to ensure reasonableness
  • Perform rigorous model testing for all production models, including backtesting, stress testing, and other testing involved in the model development process
  • PhD with a strong quantitative background e.g. physics, mathematics, statistics, econometrics, quantitative finance
  • Strong technical skills and familiarity with the UNIX environment
  • Understanding of common financial products and the key market risk factors of these products is a plus
  • Understanding of the methodology to calculate various risk measures such as VaR, expected shortfall is a plus
45

ICG Contintuity & Crisis Management Risk Analytics Resume Examples & Samples

  • Serve as strategic advisor by being the primary interface to the business providing consulting support for all aspects of the program
  • Optimize plans to maximize efficiency of maintenance and effectiveness to the business
  • Assess and review the recovery strategies of the business for compliance and appropriate risk management
  • Validate the quality of the businesses plans and capability against published policy
  • Coordinate alternate work area strategy execution
  • Emergency response protocol maintenance
  • Provide recovery support at time of disaster
  • Focus appropriate attention on the largest, most risky and/or most complex suppliers
  • Improve senior management’s visibility of CoB, Records and Supplier Continuity
  • Interface with ICG sector/regional programs, maintaining ICG compliance with all related Citi policies and supporting the regulatory interface
  • Serve in an advisory role on supplier, CoB and Records Management to the ICG businesses, and develop innovative risk management strategies within the businesses
  • Identify opportunities for process improvement at both the Corporate and Sector level across all areas of the sector and business programs
  • Working knowledge of risk management and/or business continuity disciplines
  • 2+ years of experience in risk management in one or more of the following risk disciplines
  • Intermediate to advanced knowledge of MS Office software products
  • Strong risk management abilities; able to accurately assess risk and mitigation efforts against policies and regulations
  • A confident, dynamic individual capable of defining, building and managing strong partnerships across technology and business organizations in a constantly evolving environment
  • Customer oriented, resourceful and enthusiastic
  • Strong oral and written communication skills; able to influence a broad range of stakeholders including senior management
46

Dir Risk Analytics Resume Examples & Samples

  • Develop and optimize credit risk strategies, with a specialization on Credit Cards and Consumer Direct portfolios, using analytical techniques and statistical analysis to meet pre-defined goals
  • Develop risk based pricing models and strategies to meet ROE targets
  • Develop a program to track expected versus actual behavioral and performance measures for appropriate portfolios, populations, and segmentation end-nodes
  • Develop new quantitatively driven challenger strategies and pilot programs across the customer lifecycle
  • Implement strategies to increase automated decisioning on direct loan products
  • Lead a team of analytic / statistician resources
  • Minimum 10+ years experience in a credit risk analytics, portfolio management, product management role
  • Proven expereince
47

Risk Analytics Resume Examples & Samples

  • Work regionally to provide SCEF and related information to the business and Risk Managers
  • Work closely with the whole of risk management and the business providing information for stress-testing, Audit and ad-hoc inquiries
  • Face-off to regulators and the business to provide explanation and analysis of quantitative aspects of regulatory items
  • Develop a strong understanding within Risk Management on Risk Exposure of the business
  • Get involved in local and regional projects related to regulations
  • Ensure that front office systems are robust enough in tracking risk exposures
  • Good knowledge of financial engineering, statistics and data analysis
  • Ability to interpret regulatory items
  • Strong Foundation in Market or Credit Risk
48

IBM Risk Analytics Resume Examples & Samples

  • A Bachelor's degree or equivalent in Computer Science, Engineering or other technical discipline
  • Experience with Programming with XML, Java using OO Concepts
  • Understanding of Web applications, Oracle Database, and J2EE Application Server technology, including JSPs, Servlets, IBM WebSphere/BEA WebLogic
49

Director, Risk Analytics Resume Examples & Samples

  • Deliver high quality data-driven analyses that provide key insights leading to actionable recommendations Translate business problems into analytical framework and insights
  • Develop next-generation analytic techniques/tools where existing ones are not adequate enough to address business challenges
  • Manage multiple analytics requests and priorities at the same time
  • Foster analytic competency to support and increasingly guide fact-based and timely decision-making
  • Be an SME and thought leader on risk-related analytics, enhancing Visa's analytic capabilities, with a strong understanding of payment network and bank card risk
  • Be an advocate for analytics inside and outside Visa
  • Champion the use of data-driven decision-making
  • Expert level knowledge of advanced data mining and statistical modeling. Experience in Machine Learning a plus
  • Hands-on Hadoop MapReduce and Linux/Unix/AIX experience required
  • Expertise and continuous skills development in various analytic tools, including Python, HiveQL/SQL, SPM, SAS, R
  • Proficient in BI tools such as MicroStrategy
  • Excellent skills in Microsoft Excel and PowerPoint
  • Working knowledge of visualization tools, especially Tableau
  • Excellent command over wide array of analytical techniques and be able to decide which technique will yield required results most efficiently
  • Innovative thinker, with an eye to developing new solutions and tools
  • Exhibit intellectual curiosity and strive to continually learn
  • Ability to define business issues/questions and translate them into appropriate mathematical objective, synthesize and organize large amounts of data/information into key insights, and provide actionable recommendations
  • Results driven, has ability to coordinate and prioritize multiple projects in a fast-paced environment
  • Strong multi-tasking skills, ability to adapt to changing needs of the organization
  • Strong verbal and written communications skills – experience in developing well-structured communications and presentations
  • Self-starter and able to execute, solve problems, and operate independently without detailed directions
  • Team-oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data-driven results to various audience levels
  • Builds relationships and works effectively with cross-functional teams
  • Global mindset Understanding of payments, banking, and retail industries as well as consumer credit, consumer debit, prepaid, small business, commercial, co-brand, merchant, and bank card businesses
  • 7+ years of industry experience, with strong ability to solve business problems through data-driven quantitative methodologies. Experience in the payments, retail financial services, retail merchant industries, and/or fraud/security risk consulting is preferred
50

Counterparty Risk Analytics Resume Examples & Samples

  • The firms' capital adequacy for traded risk, with particular focus on counterparty credit risk
  • The identification of strengths and weaknesses of models used for capital purposes
  • The assessment of firms' risk measurement with respect to the requirements for an internal model method (IMM) permission
  • Providing technical support to Policy on the development of regulatory requirements such as initial margin models for non-cleared derivatives
  • Providing technical support to the development of international policy for standards of risk measurement and capital
  • Analysing industry and firm-specific data, and following industry trends, to inform and deepen the bank's understanding and assessment of risk modelling
  • Collaboration with other teams (e.g. the front office, valuation & product control, credit, operational or liquidity risk teams) to ensure that risks of different natures across market participants are identified and managed consistently
  • Acting as a mentor to other staff in one's particular area of expertise, and sharing specialist knowledge across the organisation and externally
  • Excellent analytical, problem solving and decision-making skills
  • Strong written and oral communication skills: the ability to present complex measurement issues clearly
  • Inquisitive nature: the ability to ask right questions and escalate issues
  • Organised and efficient, with ability to work collaboratively within small teams and with colleagues across the Bank
  • Ability to multi-task, and work well under pressure
51

Operational Risk Analytics Resume Examples & Samples

  • Work with Model Risk Group (MRM) and Internal Audit (IAD) on model/process validation and help address the issues raised therein
  • Work with Technology (ICT) on the need to address technology-related issues related to the testing or production in the UAT/Developer environment
  • Conduct periodical review and back-testing of the methodology and its system requirement
  • 2+ years’ experience in Financial Service industry, preferably in the field of Operational Risk modeling and quantification (direct involvement in the Basel II AMA and/or CCAR/DEFAST process is definitely a plus)
  • An advanced degree in financial engineering, math/physics or statistics
  • Must be a self-starter and highly organized; attention to detail a must
  • Strong proficiency in the MS Office Suite (e.g., Excel, PowerPoint, Access), Mat Lab coding
52

Mortgage Risk Analytics Manager Resume Examples & Samples

  • Must have a Bachelor's degree in Economics, Financial Mathematics, Statistics, or related quantitative degree
  • Must have 2 years of experience in statistical analysis positions
  • Work experience must have included: analyzing substantial amounts of mortgage and loan performance data; leveraging knowledge of loan markets; use of advanced statistical modeling techniques; cashflows, duration, convexity, volatility, and various other risk metrics associated with fixed income markets, valuations, and hedging techniques; use of advanced financial mathematics, economic theory, and capital markets knowledge in a rapidly changing market driven environment through the utilization of tools, including SAS, Matlab, Visual Basic, SQL, R, JMP, and Microsoft Office
53

Director of Risk Analytics Resume Examples & Samples

  • Deliver high quality data-driven analyses that provide key insights leading to actionable recommendations
  • Translate business problems into analytical framework and insights
  • Execute on the analytic plan with appropriate data mining
  • Strong project management experience with ability to manage multiple analytics requests and priorities at the same time
  • Manage and execute projects independently from end-to-end; work with cross-functional and cross-cultural teams to deliver on these projects
  • Be an SME and thought leader on fraud risk-related analytics, enhancing Visa's analytic capabilities, with a strong understanding of payment network and fraud risk
  • Continuously strive to increase the value that Risk Analytics brings to Visa and our clients
  • Identify and respond to analytics / data trends and opportunities
  • Minimum 7 years of proven work experience in highly analytical environment performing complex business analyses, generating data-driven insights and presenting them to stakeholders
  • Superior analytical and problem solving skills, with demonstrated intellectual and analytical rigor. Demonstrated ability to solve business problems through data-driven quantitative methodologies. Experience in fraud analysis, detection, and prevention a plus
  • Detail-oriented, expected to ensure highest level of quality/rigor in reports & data analyses
  • Has desire and demonstrated ability to work cross-culturally
  • Hands-on Hadoop MapReduce and Linux/Unix/AIX experience is a plus
  • Understanding of payments, banking, and retail industries as well as consumer credit, consumer debit, prepaid, small business, commercial, co-brand, merchant, and bank card businesses
54

Operational Risk Analytics Resume Examples & Samples

  • Conduct high quality research in operational risk modeling using statistics and other mathematical theory and tools. Apply mature and sound judgment in the selection of methods that provide a balanced approach to address both the theoretical and practical issues when faced with very difficult choices
  • Lead and manage other team members for research on theoretical and numerical issues related to the methodology and tools for operational risk quantification (This includes the exploration of new and innovative techniques and methods to address existing issues and to enhance the overall framework)
  • Support the quarterly AMA production cycle for regulatory and economic capital filing (including Schedule S filing and related vetting process) and the annual and semi-annual CCAR/DFAST filing process
  • Work with I Model Validation and Internal Audit on model/process validation and help address the issues raised therein
  • Work with Technology (ICT) on the need to address technology issues related to the testing, production and UAT/Developer environment
  • Conduct periodical review and testing of the methodology and its system requirement
  • 2 + years’ experience in Financial Service industry, preferably in the field of Operational Risk modelling and quantification (direct involvement in the Basel II or Basel III AMA and/or CCAR/DEFAST process is definitely a plus)
  • Strong proficiency in the MS Office Suite (e.g., Excel, Powerpoint, Access), MatLab coding
55

Manager Risk Analytics Resume Examples & Samples

  • Support the
  • Exceptional
  • Strong written
  • Attention to
56

Manager Risk Analytics Resume Examples & Samples

  • Enhance an integrated reporting data structure to provide information to support business decisions
  • Summarize and describe changes in the Bank’s credit risk globally for internal and external stakeholders
  • Provide new employees with an overview of responsibilities, reports and data feeds
  • Be sufficiently knowledgeable of processes surrounding the calculation of Collective Allowance and Credit Risk Appetite to assume related accountabilities if needed
  • Proven problem resolution skills. In many cases the incumbent is reliant on other departments (e.g. market risk, credit risk, investor relations, credit information systems, compliance, international banking finance and executive office finance, technical support, and other risk management staff) to identify and resolve problems
  • Strong programming, technical, and analytical skills. Detailed knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential
57

Senior Manager Risk Analytics Resume Examples & Samples

  • Provide fast and reliable revision of reports as requested by the Board, Executive Management and regulators
  • Provide error-free reporting, test changes to various data sources, ensure timely delivery of reports, and improve quality/consistency of the analytical tools in Risk Analytics
  • Be able to calculate collective allowance for performing loans and generate reports needed to communicate changes to stakeholders
  • Streamline data flow and generate stakeholder reports related to the Credit Risk Appetite
  • Assist in the redesign of processes and dataflow to accommodate IFRS 9 Expected Credit Loss metrics
  • Oversee the development and production of monthly and quarterly top management reports (Over-threshold, MD&A Eurozone, OSFI Eurozone, Top 20 exposures, OSFI Credit Data Call, Collective Allowance, Credit Risk Appetite, NCR, Global Country Risk, Industry Analysis, Wholesale Collateral etc.). Ensure that all processes are run smoothly
  • Interpret periodic and detailed information requests into reports, including describing and quantifying factors impacting movements in monitored portfolios for Senior Executives
  • Respond to ad-hoc and/or recurring information requests as well as to requests for data reconciliation through SAS programming
  • Assume responsibility for select Enterprise Risk reports
  • Participate in the identification, assessment, measurement, and monitoring complex, cross-enterprise risks, and communicating these to Executives and the Board of Directors. Assist in preparation of the GRM quarterly report to the Board of Directors and Briefing Binder Report used by the Executive Management
  • Develop Business testing strategies and reasonability reviews for GRM and Finance reporting projects (Basel III, data source enhancements, IFRS 7, IFRS 9, etc.)
  • Advanced knowledge of Base SAS, Access, Excel, relational databases, and data mining. Ability to use SQL to run queries in different environments, and aggregate data from several sources in various formats
  • Knowledge of banking products, accounting and finance principles, exposure measurements, reporting to regulators and Senior Executives
  • While analytical skills are important, verbal and written communication skills are equally needed
58

Specialty Partner Group Risk Analytics Resume Examples & Samples

  • Independently manage development and implementation of effective acquisition risk management strategies that help mitigate credit losses
  • Apply subject matter expertise to the prioritization and planning of projects in conjunction with risk management policies and strategies
  • Must have capability to clearly develop and communicate analysis
59

Specialty Partner Group Risk Analytics Resume Examples & Samples

  • Required Education: Bachelor’s degree in a quantitative discipline: Mathematics, Economics, Operations Research, Statistics
  • Preferred Education: Master’s degree in a quantitative discipline: Mathematics, Economics, Operations Research, Statistics
  • Required Experience: 6+ years of relevant experience
  • Exposure to project/process management
  • Strong communication and presentation skills targeting a variety of audiences
  • Flexibility in approach and thought process
60

Senior Manager Regulation & Risk Analytics Resume Examples & Samples

  • Normal office environment, generally comfortable physical setting, nominal physical demands, frequent use of computers, management of large data files, large volume of reading and writing
  • Must work closely with other areas to gain appropriate support for development and implementation. Work closely with Group resources to facilitate ongoing monitoring and/or development efforts. Information Technology – work within the bank to translate management needs into user requirements for new and existing systems
  • Thorough understanding of the credit process, branch account management, risk assessment, lending financial analysis, Bank systems and subsidiary functions
61

Ccb-risk Analytics Resume Examples & Samples

  • Experience making and understanding risk assessments of business entities
  • A strong desire to learn the various ways a business is evaluated across the enterprise
  • Expert in SQL, Unix, and at least one of: SAS, R, Hive, SparkSQL, Sqoop, or other query languages
  • Experience in SQL tuning, data validation, ETL process as well as logical, physical, and semantic data modeling
  • Experience working in large-scale corporate DataMart’s resolving inconsistencies and challenges in the data
  • Experience working with enterprise databases such as Oracle, DB2 and Teradata
  • Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
  • Expert knowledge of the business lending lifecycle
  • Ability to work effectively and gain credibility and respect of key partners both inside and outside of the organization
  • Ability to lead and persuade others while positively influencing the outcome of team efforts
  • Database tuning for performance inside of Hadoop and Greenplum
  • Powerful communicator who engages colleagues, business partners, external stakeholders, and employees
  • Strong knowledge of the related regulatory environments
  • Knowledge of Chase IT tools such as ITSM and DM are a plus
62

Risk & Analytics Change Management Resume Examples & Samples

  • Work as a team player in a global development group participating in business requirements/functional specification definition, data analysis and design liaising with both Business and IT teams
  • Support and coordinate system implementations or process change through the project lifecycle using Agile methodologies, working with other teams on a local and global basis
  • Collaborate with developers and subject matter experts to establish technical vision and analyze tradeoffs between usability and performance needs
  • Partner with senior business sponsors, to drive the successful delivery/benefit of critical strategic and/or regulatory programmes
  • Clearly articulate the strategy/vision, and translate that into a holistic delivery plan, driving the execution of that plan to completion. In an Agile framework, this should translate into tangible goals and near term planned deliveries
  • Work with organisation and key senior stakeholders to scope and staff projects, establish governance, and define target solutions
  • Create communication materials for multiple levels of stakeholders
  • Actively manage day to day activities and ensure delivery accountability is in place across the initiative
  • Ensure compliance with regulatory obligations and reporting requirements
  • Actively assess and manage risk; remove / reduce barriers towards realizing goals, ensuring mitigating actions are in place & managed
  • Manage Stakeholder engagement and expectations (typically business heads and technology leads)
  • Status reporting, providing visibility on status against milestones, and transparency of risks and issues
  • Chair/lead key project meetings
  • Prepare for and participate in executive committees, steering committees and working groups
  • Conflict resolution in a high-pressure environment
  • Act as the ‘honest broker’ in resolving conflict, navigating barriers and political sensitivities
63

Ccb-risk Analytics Resume Examples & Samples

  • Designing, developing, testing, deploying, and maintaining analytic applications and data structures needed for modeling and analytics
  • Process analysis and process improvement
  • Creating technical and user documentation
  • Training internal customers on how to install and/or use custom built applications
  • Identifying innovative techniques and/or developing utilities that increase the speed and efficiency of the modeling and analytics tool set
  • 5+ years’ experience designing and developing highly efficient code for use in automated data processing systems on distributed Unix and Linux based platforms
  • Candidate must have an educational background in Computer Science, MIS, Software Engineering, or a related discipline. In addition, the candidate must have a minimum of a Bachelor’s degree with five years of experience or a Master’s degree with three years of experience
  • 3+ years working with extremely large data sets in the Hadoop big data processing stack using MapReduce, Hive, SparkSQL, Sqoop, HDFS, and Spark
  • 3+ years of programming and optimization experience in statistical analysis software packages such as SAS, R, and/or Python
  • Strong understanding of Unix and Linux based distributed systems and MPP environments including experience with command line, shell scripting, and use of load balancing software
  • 3+ years’ experience with complex SQL tuning experience using relational databases such as greenplum
  • Solid experience working with unstructured data including expert-level knowledge of Text Mining and Regular Expressions
  • Knowledge of version control tools and processes (Subversion, Git, CVS, Clear Case etc.)
  • Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation is a major plus
64

Ccb-consumer Risk-business Risk Analytics Resume Examples & Samples

  • Partner with Product and marketing as a key risk contact for project deliverables and product enhancements
  • Provide timely reporting and analytics for the successful implementation of various CCB Product and CBRM initiatives
  • Partner with risk management and risk operations partners to execute ad-hoc reports or product specific process changes as needed
  • Communicate fraud trends identified thru monitoring and reporting to leadership
  • 5-7 years related business experience, including 3-5 years experience in Risk Management and/or consumer banking
  • Excellent analytical, problem solving, and time management skills
  • Must be able to effectively communicate identified trends through formal presentations to senior management
65

VP, Global Risk Analytics Resume Examples & Samples

  • Form a meaningful working relationship with FCC Policy and Operations, FCC and LOB senior stakeholders, senior business partners, Change Delivery, Independent Model Review teams, and other risk management partners
  • Ensure that all appropriate parties, including but not limited to, the Regional Head of GRA FCC, Regional Head of GRA, Group GRA, Head of FCC and the Head of AML, as well as other risk management teams and committees are appropriately advised of material AML TM and Sanctions Screening issues
  • Effectively understand and manage Sponsor and Stakeholder expectations, implementing change while minimizing conflicts
  • Drive GRA efforts to deliver AML strategic TM and Sanctions screening objectives while also ensuring BAU control changes and analytics are delivered within the overall governance framework
  • Responsible for supporting GRA FCC in the analysis, design and development of innovative and best practice AML TM Solutions to deliver business objectives and optimal system performance as a global standard
  • Simplify processes to clearly allocate responsibility, discover the relevant fact base and process for sound decision making regarding AML by risk type owners/first line business units
  • Monitor and assess performance and the level of resourcing, costs and spend of the AML GRA team
  • Ensure all GSM, FIMs, BIMs and dispensations, etc. are updated for changes in Regulation and impacts on business
  • Maintain awareness of risk and minimise the likelihood of occurrence through its identification, assessment, mitigation and control, loss identification and reporting
  • Lead and/or support assigned business analysis initiatives for Group GRA globally across all business lines - RBWM, CMB, GBM and GPB for the full range of project management responsibilities and outreach and liaison activities
  • Ensure appropriate oversight and governance of initiatives, benefits tracking and realization
  • Manage interaction with other initiatives, impact on customers, resources and operating processes
  • Coordinate with all necessary functions of GRA namely Global AML TM, Global Sanctions Screening,, Global Risk Models, Global Analytics (offshore) COE and Regulatory Compliance GRA to develop, implement and administer appropriate standardized compliance objectives
  • Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives
  • Partner with other control functions, including Audit and Risk Management, to ensure the effective operation of the program
  • Deliver the GRA requirements for all AML TM and Sanctions Compliance risk models
  • Leverage expertise across the Group to bring in best practices, while collaborating with local teams to ensure adapting those to local markets
  • Build positive momentum for change across the organization with the active support and buy-in of all stakeholders
  • Assign tasks and roles effectively to ensure maximum productive utilization of resources
  • The position provides the key interface between Group GRA Analytics, Group TM systems, Group Sanctions Screening systems and Compliance peers and management
  • The position is responsible for ensuring compliance coverage of TM and Sanctions Screening systems
  • The role will be given minimum supervisory guidance
66

Fri-risk & Analytics Resume Examples & Samples

  • Manage a team supporting Interest Rate Risk reporting for Europe and Asia risk taking units
  • Engage with members of Market Risk, Treasury, FP&A, and Finance to explain drivers of variances in interest rate risk measures
  • Work with various disciplines to ensure correct model implementations and validate expected results
  • Identify potential process improvements and capabilities to increase consistency, transparency, and reliability of interest rate risk reporting
  • 6-8 years experience in the financial services industry with a track record of managing a team; experience in an ALM or Interest Rate Risk analysis or forecasting role in Risk, Treasury, or Finance preferred
  • Individual should have a strong understanding of the workings of the balance sheet and the various products and transactions that impact it
  • Solid analytical skills (Bachelors in concentration with analytic focus, e.g. business, finance, economics, etc.), working towards a CFA, FRM or MBA a plus
  • Strong technical skills in order to be able to analyse large quantities of data and identify potential issues
  • Experience in excel based spreadsheet modelling, VBA , SQL and Powerpoint. Additional programming knowledge and advanced Excel skills a plus
67

VP, Risk & Analytics Resume Examples & Samples

  • MUST SPEAK MANDARIN
  • Provide leadership in developing strategies in underwriting policies, score modeling, portfolio management and analytical reporting
  • Work with subject-matter-expert (SME) consultant to develop, interpret and implement credit risk policy and establish procedures
  • Lead and build the team in credit policy implementation from automation to judgmental review
  • Lead and establish data mart build and reporting for performance monitoring
  • Responsible for continuous improvement and streamlining credit policies and procedures
  • Own development of scoring models. Plan by phase from conceptualizing to executing
  • Work with SME consultants to implement collection strategy. Collaborate with Operation Manager to balance the needs of compliance and effective collection
  • Lead to interface with bureaus, scoring agencies, and consultants to seek Risk Management and Analytical solutions
  • 5 to 7 years of versatile Credit Risk Management and Analytical experience in consumer lending. Broad understanding of credit card business model
  • Hands on experience manipulating data and building risk scoring models. Strong familiarity of SQL and SAS
  • Strong familiarity of credit bureaus reports, risk attributes and judgmental underwriting review
  • Ability to independently develop robust statistical models and perform validation analyses
68

Expression OF Interest Adelaide Risk Services Risk Analytics Resume Examples & Samples

  • You have researched the service Line/ cluster you are applying for (YourFuture.Deloitte.com.au)
  • Be aware of your eligibility for the specific program you are applying for
  • You have your resume updated to reflect the requirements of the service line/ cluster specific opportunity that you wish to apply for and it’s ready to be uploaded
  • You are prepared to answer a couple of online application questions
  • 1) Select the relevant Program (Vacationer or Graduate) in the city you wish to be based (hopefully you’ve already done that as you are now reading this)
  • 2) Next you will be asked to register a username and password (if you haven’t previously registered)
  • 3) Complete the online application form
  • 4) Attach your resume, academic transcript, copy of work rights and relevant visa label and evidence of English language proficiency results (if you are an international student)
  • 5) Finally, answer all the application questions so as to provide us with the best overall picture of you
69

Fri-risk & Analytics Resume Examples & Samples

  • Participate and/or lead in projects that will enable more consistent and transparent risk reporting across all regions within PB
  • Actively participate in the resolution of MRAs and CAPs resulting from internal and external reviews
  • Ensure team compliance with Management Control Assessments (MCAs), the Risk Reporting Directive and End User Computing (EUCs)
  • Promote best practices across the global PB Reporting team
  • Lead a team of analysts in preparing regular and time-sensitive reports and any ad-hoc reporting deliverables for CPB users and their senior management
  • Provide regular status updates to the head of CPB Reporting and other senior management within FRA
  • 6-8 years’ experience in the financial services industry with a track record of managing a team
  • Knowledge of Counterparty Credit Risk and exposure calculations is a preferred
  • Bachelor’s/Master’s degree. Working towards a CFA, FRM a plus
  • Must have excellent leadership and team building skills
70

Risk Analytics & Modeling Manager Resume Examples & Samples

  • Lead global initiatives and provide best practice sharing around economic/housing market assumptions, relationships between economic variables and portfolio performance, loss forecasting and tracking, stress testing, and other analyses
  • Support financial planning processes and enterprise wide stress testing efforts through effective coordination between different risk and finance teams in the global mortgage Insurance division
  • Develop loss tracking dashboards to monitor the loss development against business plans
  • Support new markets and product development efforts with development and validation of loss assumptions for pricing
  • Act as a catalyst and communicate regularly with different business functions, including risk, operations and finance to ensure consistent loss forecasting and tracking
  • Develop and implement predictive models, including acquisition models, behavioral models, loss forecasting and economic capital models
  • Support validation of various predictive models, including behavioral models, loss forecasting and economic capital models in the global mortgage insurance platforms
  • Ensure consistency in methodology by providing greater oversight and thought leadership on the modeling efforts in different platforms
  • Support several risk analytic initiatives by closely working with the analytic teams in the global platforms
  • Build and manipulate large data sets using SAS
  • Function as a contributing and effective member of the team
  • Demonstrated superior analytical ability coupled with the desire and ability to execute on deliverables for real-world business applications
  • Advanced degree in Analytics, Statistics, Operations Research, Mathematics, or Economics with demonstrated computing ability
  • Strong SAS programming knowledge
  • At least five years of relevant experience with SAS using large, complex data sets
  • Thorough understanding of statistical methodologies including least squares and logistic regression, CHAID, clustering and forecasting
  • Proven business orientation
  • Experience in multi-tasking in a fast-paced environment
  • Demonstrated ability to communicate and influence others across different countries, cultures and functions
  • Willingness and ability to travel internationally
  • Must be able to work beyond normal business hours in order to accommodate international work schedules
  • Mortgage or credit scoring experience
  • Experience working with international teams, preferably in financial services industry
71

Market Risk Analytics Resume Examples & Samples

  • Educated to postgraduate level, with an excellent academic record in a quantitative field (e.g. mathematics, physics, statistics, engineering). PhD or equivalent degree is strongly preferred, but outstanding candidates with an MSc level qualification will also be considered
  • Good IT skills and experience in programming are essential, for example, with Matlab, SQL, VBA, C/C++, Perl,
  • Experience in one or more of the following is an advantage: derivatives pricing, exotic products, risk management practices, regulation, numerical computation, statistics
72

Risk Analytics, Senior Resume Examples & Samples

  • Responsible for managing credit risk exposure derived from banking and financial services activities
  • Establishing polices and developing systems to control and monitor assets in terms of credit risk
  • Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends
  • Employs complex statistical analysis that estimates the probability of default
  • Have experience manipulating and analyzing large datasets using statistical software
  • Solutions are innovative, thorough, and practicable
  • Collaborate with team members and interact across organizational lines to meet business objectives
  • Must be able to manage multiple priorities and meet deadlines
  • Degree in Statistics, Economics, Business, Mathematics, Computer Science or related field with 5-7 years related experience
  • 3+ years of data analysis experience, with a combination of business and technical skills
  • Mortgage industry experience or financial / credit analysis
  • Solid communications skills – verbal and written
  • 3+ years of SAS programming experience
  • Experience in other statistical software
73

Credit Pol Risk Analytics Dir Resume Examples & Samples

  • Develop and implement end-to-end credit risk strategies and policies for Freddie Mac’s Single Family $1.7T portfolio
  • Lead strategic transformation of current credit policy team
  • Manage team of ten (10) risk management professionals dedicated to specific products
  • Establish and maintain credit performance metrics
  • Develop analytical approaches to accurately measure and forecast credit performance
  • Develop credit policies to attain appropriate risk/reward (innovation) tradeoff
  • Maximize the use of risk management tools to accurately measure and monitor credit risk
  • Lead and manage credit policy calls with clients (banks/financial institutions) and internal stakeholders/leadership
  • Act in advisory capacity with clients/customers as they assess and address their internal credit policy issues as they relate to Agency relationships
  • Work closely and manage internal relationships with key company stakeholders to include Head of Single Family business, primary officers (VP level and above) in the Single Family business, Head of Sourcing, Head of Policy Implementation and Strategic Delivery, Head of Affordable Lending, Chief Risk Officer for Single Family, Enterprise Consumer Credit Risk Officer, Chief Enterprise Risk Officer
  • Serve as change agent and cultural leader for Freddie Mac Single Family Mortgage Credit Policy, with agile and broad-based understanding of single family real estate lending beyond risk alone
  • MBA (preferred) and/or minimum 10-15 years of experience in a combination of senior leadership roles in consumer credit and real estate
  • Strong leadership skills with an emphasis on team building and development of younger/junior personnel
  • Extensive business knowledge with an ability to identify and analyze multiple economic scenarios and the possible financial impact to the firm
  • Ability to think strategically with an emphasis on identifying, mitigating and receiving a return commensurate with the risk our client is taking
  • Ability to interact well with others while possessing strong presentation, oral and written skills
  • Ability to think strategically, openness to new ideas, approaches, and innovations
  • Subject matter expertise in single family mortgage policy
  • Executive presence with Single Family Leadership team, strong influencing ability and steady team management capability
  • Ability to collaborate effectively and easily with internal and external stakeholders
74

Risk Analytics, Mgr Resume Examples & Samples

  • Lead a team in the execution of periodic review activities, provide guidance on process execution, set priorities, and review all analyses and validation results
  • Communicate with key areas within the company to understand emerging valuation issues, support testing and auditing requirements, and develop system solutions to review/control needs
  • Maintain and execute department’s validation and verification applications used to assess the accuracy of financial statement valuations
  • Perform analyses on validation discrepancies to understand and resolve outstanding issues
  • Create and execute queries to analyze data trends in valuation results
  • Prepare and present documentation, containing information on the review processes and results
  • Minimum of eight years’ relevant professional experience; seven years of valuation/analytical experience
  • Three years of management/supervisory experience
  • Working knowledge of techniques for valuing hard-to-price instruments
  • Knowledge of fixed income instruments
  • Extensive experience in building models and applications for asset valuation
  • CFA designation or other advanced degree
  • Experience with one or more programming languages, such as VBA and/or SAS
  • Working knowledge of Freddie Mac’s credit guarantee programs
75

Market Risk Analytics Resume Examples & Samples

  • Degree of MS or Ph.D in a highly quantitative field, such as mathematics, physics, statistics, or engineering
  • Knowledge of derivative pricing and products, market risk management practices and procedures, numerical methods, Monte Carlo simulations, statistical analysis
  • Very good programming skills, in C/C++
76

Risk Analytics, Prf Resume Examples & Samples

  • Develop new and maintain existing methods and systems to sustain the quality, timeliness, reliability, and usefulness of the team’s deliverables to support business decisions
  • Participate in development of QC sampling policy, methodology, and processes
  • Execute monthly and quarterly baseline processes and reports. Analyze and interpret process and report outputs in the context of the QC process as well as in the larger context of credit risk for Freddie Mac
  • Prepare and maintain documentation for processes, systems, and procedures
  • Validate, research and analyze data to frame and answer analytical questions. Present ideas and recommendations to management. Gain in-depth understanding of source data and related controls
  • Support ad hoc analysis, data querying and reporting needs
  • The job requires a self-motivated, proactive, and results-driven problem solver with excellent communication skills
  • Undergraduate degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field
  • Two to four years of relevant experience
  • Demonstrated proficiency in SAS and SQL
  • Proven quantitative, analytical and problem-solving skills, with attention to detail and high quality self-review of work products
  • Must be able to manage multiple priorities, meet deadlines, identify and escalate issues appropriately to supervisors and management, and assimilate constructive feedback
  • Must possess strong written and oral communication skills
  • 1+ year mortgage industry or financial services / credit analysis experience
  • 2+ years recent (preferably professional) experience with analytical and/or data manipulation tools such as SQL, SAS, R
  • Advanced qualifications or experience in Statistics, Economics, Business, Mathematics, Computer Science, Data Science or related field
  • Knowledge of and experience with single-family mortgage credit risk data, preferably related to GSEs
77

Risk Analytics Manager, Senior Resume Examples & Samples

  • Serve as the group’s primary liaison with Business Credit Risk for model oversight and for matters relating with MRMC
  • Evaluate the effectiveness of the new and current scorecards for all consumer products and drive the development of scorecards from both internal and external sources
  • Centralize and develop a roadmap for the effective use of analytic vendors and the enhancement of data/ data mining tools for Group Risk
  • Examine score cut-off strategies present and proposed for ensuring bad rate optimization
  • Ensures that industry, regulatory and other external analytics and modeling best practices are incorporated and leveraged within lending units
  • Establish and serve as the Groups' "analytic review" functions to ensure uniform, high quality analytics tools and that reporting delivered consistently to business partners
  • Effectively manage and develop analytic staff (modeling, loss forecasting) and develop the necessary roadmap for the group to effectively support Group business heads, risk managers, and Corporate Risk
  • 15 years or more of functional experience, in roles of increasing responsibility
  • 7 years or more of managerial or supervisory experience
78

Manager, Markets Risk Analytics Resume Examples & Samples

  • Strong experience in Traded Market Risk
  • Strong understanding of the qualitative issues within FRTB
  • Advanced understanding of financial products, risk and market risk in particular, statistics and analytics
  • Post Graduate qualification preferred (Masters or PhD) in a quantitative discipline (Finance, Science or Engineering)
  • Highly developed analytical skills, an ability to work with large complicated datasets
  • Strong understanding of Technology MIS components and data management, proficient in technical languages and design (VBA, SQL, Python, C++)
  • Capable of developing concise and insightful summary presentations using a variety of data source
  • Ability to span organisational boundaries to engage others, influence outcomes and drive change
79

Fri-risk & Analytics Resume Examples & Samples

  • Prepare monthly / quarterly risk reports and conduct analysis covering Citigroup’s consumer businesses (Primarily APAC with some reports covering global) using internal Citi applications and standard software packages (Excel, Access, PowerPoint, Cognos / MicroStrategy)
  • Partner with APAC consumer risk seniors to design and develop new risk reports to meet the evolving needs of risk management and regulators
  • Coordinate and prepare APAC consumer risk management presentations for the board/regulators/executive committees
  • Deliver ad-hoc and time sensitive requests from seniors and regulators
  • Identify opportunities to enhance data capability and efficiency of the reporting process
  • Lead or participate in projects that will enable more consistent and transparent risk reporting across all Citi businesses around the globe
  • Coordinate and follow up on projects that encompass multiple regions, products, and risk disciplines
  • Work closely with risk systems/technology on various technology projects. Participate in design of the new systems as users and UAT testing
  • 8-10 years’ experience in the financial services industry. Experience in managing a team will be a plus
  • At least 2+ years of relevant work experience in consumer banking risk management and reporting
  • Advanced knowledge and hands on experience of commonly used tools Microsoft Office (Word, Excel, PowerPoint, and Access), Cognos / MicroStrategy. Experience manipulating/analyzing large quantities of data is a plus
  • Working knowledge of consumer risk management and understanding of P&L drivers
  • Good analytical, communication (both verbal and written) and presentation skills
  • Team Player, independent/structured thinker and proactive problem solver
  • Master’s degree. MBA, CFA, FRM a plus
  • Strong written, verbal, and interpersonal skills, and the ability to build and maintain relationships at all levels across departments and centers
80

Manager, Markets Risk Analytics Resume Examples & Samples

  • Extensive Markets Risk experience
  • Excellent analytical skills, including an advanced understanding of risk analytics
  • Outstanding leadership and management capabilities enabling collaboration, team building and delivery of outcomes
  • Strong understanding of Technology MIS components and data management
  • Sustained self-motivation and clear communication skills
  • Postgraduate qualification in a quantitative discipline (Finance, Science or Engineering)
81

VP, Global Risk Analytics Resume Examples & Samples

  • Position manages, on a project basis, a number of domestic and off-shore analytic resources in formulating recommendations
  • Acts as manager for Wholesale CRAOC and other committees as assigned
  • Minimum of seven years proven and progressive credit and financial services experience or equivalent, including the implementation of cutting edge credit risk analytics
  • Thorough knowledge of financial theory, economic capital modeling and decision support and performance measurement models and methodologies
82

Risk Analytics, Senior Resume Examples & Samples

  • Business/Data Analyst
  • This role is a combination of BA and DA with a focus in data modeling and analysis
  • Business requirements documentation including converting business reqs in to technical specs, data requirements (logical, physical schemas, data standards, ETL design etc)
  • Experience with Data Modeling tools – Ex. ER Studio
  • 6+ years of modeling experience in processing large volumes and variety of data (Structured and unstructured data - XMLS, JSONs, PDFs). Data Warehouse, Data Marts, OLTP, OLAP systems modeling experience
  • Strong SQL experience and at least one analytical language such as SAS/R is a must
  • Data cleansing, profiling, analysis experience
  • Metadata management experience – Data Dictionary, business glossary, business rules spreadsheets
  • Designing for optimal load and query performance
  • 2+ years of programming experience in any one of the big data languages - R, Python, Spark, for data processing and analysis
  • Detail oriented. Excellent communication skills (verbal and written)
  • Degree in Computer Science, database systems, Information systems or related field
  • Mortgage industry experience with data modeling and analysis focus
  • Experience in ETL tools like Informatica, SSIS is a plus
  • Familiarity with BI tools like Microstrategy
  • 2+ years of experience – using Hadoop platform and performing analysis. Familiarity with Hadoop environment - HBASE, HIVE tables and configurations for data modeling and data management for analysis work
83

Risk Analytics, Dir Resume Examples & Samples

  • Degree in Computer Science, Information systems, Big Data or related field
  • Significant experience designing technical architecture and implement reporting and analytical applications on Big Data Platform, leveraging R, Python, Spark and similar languages
  • Experience implementing HBASE, NO SQL applications
  • 10+ years - Extensive experience developing and implementing data warehouse, BI applications on multiple platforms
  • Data Expertise - Working knowledge of data modeling, data profiling, data governance, standards and controls. Contributed or developed data governance and data strategy for departments or higher
  • Mortgage industry experience and working knowledge of Single Family Mortgage Loan data
  • Managed small to mid-size teams (3 to 6 people)
  • Managed full life cycle development and implementation of business systems (mid to large scale implementations)
  • Experience managing production support and incident management teams
  • Excellent presentation, collaboration and communication skills
  • Experience with Horton works platform, HBASE, NO SQL databases and other Big Data Technologies
  • Experience with DW/ETL tools such as Informatica and reporting applications such as Tableau
84

Risk Analytics Quant, VP Resume Examples & Samples

  • Strong practical and theoretical Risk Modelling knowledge including statistical techniques used in VaR, SVaR, Back testing and stress testing
  • Good understanding of credit analytics methodologies (PFE)
  • Good understanding of pricing models
  • Experience of economic capital modelling for various risk classes an advantage
  • Excellent knowledge of banking products in a dealing room context
  • Excellent quantitative and problem solving skills
  • A clear independent and effective communicator, persuasive in inter-personal communication
  • Ability to deliver practical solutions in a demanding high-pressure environment
  • Flexibility to adapt to changing day-to-day priorities whilst simultaneously achieving longer term project based deadlines
  • Proficiency in Excel and VBA / C++ or similar languages is essential
  • Excellent academic credentials is essential
  • The successful candidate will be a confident pro-active self-starter, an intelligent lateral thinker and a problem solver who is good at dispute resolution
85

Risk Management Risk Analytics Professionals Resume Examples & Samples

  • 1-5 years of experience gained in a leading consulting firm or a large multinational / national company in the banking sector
  • Good knowledge of the basic analytic tools (SAS Base, SAS Macro, R, SPSS) and knowledge of the verticals within SAS (CRMB, RMfB, Visual Analytics, Risk Dimension, Financial Management), Qlikview, Tableau and Oracle BI
  • Excellent analytical and synthesis skills
  • Natural inclination to work in groups and highly results oriented
  • Excellent ability to build relationships with clients
  • Willing to travel both nationally and internationally
86

Ccb-risk Analytics Resume Examples & Samples

  • Ensure a robust and quality data environment is available to the CCB Risk Analytics organization
  • Understand how data is created, transformed, and used within and across business processes
  • Develop logic for automated data validation
  • Manage table and field inventory to Risk requirements, such as adding or deleting fields, and implementing fixes and enhancements
  • Maintain documentation
  • Minimum 3 years data management experience required, preferably in a lending environment
  • Minimum 3 years experience required with one or more of the following applications: SAS, SQL, Business Objects, Brio or similar data mining tools
  • Experience with Unix, and at least one of: R, Hive, SparkSQL, Sqoop, or other query languages working with data in the HADOOP environment
  • Knowledge of the credit lending lifecycle, including origination, sale/servicing, default management / loss mitigation, preferred
  • Familiarity with data warehousing concepts and techniques
  • Experience working in large-scale corporate Data Ecosystems resolving inconsistencies and challenges in the data
87

Analyst Energy Fundamentals & Risk Analytics Resume Examples & Samples

  • You have a university degree in engineering, mathematics or economics
  • You are proficient with operations research, quantitative decision analysis, statistics, econometrics or corporate/project finance
  • You have a basic understanding of the engineering, economics and financial fundamentals of the energy business, with at least 1+ year (Junior) to 3+ years of industry experience and/or in a quantitative analytical role
  • You are familiar with mathematical modelling languages, data analytics software and simulation models widely used in the energy industry, or eager to learn them
  • You are able to structure quantitative analysis and present the conclusions to middle or senior management
  • You want to closely and actively team up with operational business entities
  • You have a good team spirit and communication skills
  • You comfortably work in cross-functional and multi-cultural organizations
  • You are fluent in English and one of the languages spoken in Belgium; the knowledge of other European languages is an asset
88

Director, Risk Analytics Resume Examples & Samples

  • Lead and develop a team within Enterprise Models that is responsible for stakeholder and project management, planning and internal coordination, and other administrative tasks
  • Lead stakeholder engagement activities with model users, MRM, Internal Audit, and our regulator. Ensure that we maintain productive relationships with all these stakeholders and seek opportunities to strengthen them where necessary
  • Oversee project management and stakeholder vetting activities for major model releases. Identify and execute on opportunities to improve these processes
  • Serve as an advocate for first line model risk management responsibilities within EM. Ensure that EM team members understand these responsibilities and work to integrate these activities into our normal modeling process. Work with MRM to ensure that model governance is as efficient as possible
  • Lead goals planning discussions with EM leadership, manage the budget, and assume other administrative responsibilities
  • Represent EM at management oversight committees such as the Model Risk Oversight Committee (MROC) and Capital Committee for major model releases
  • Strong communication skills are required, particularly an ability to succinctly distill the salient points of complex technical issues to senior management; also requires an ability to communicate clearly across a diverse audience with varying levels of technical and modeling expertise
  • Demonstrated success in developing and maintaining strong relationships with stakeholders and counterparts across the organization
  • A solid grasp of financial theory is required. Previous experience in credit risk, market risk, or mortgage finance is very helpful
  • An ability to develop a solid working knowledge of the models built within EM and to understand how they are used by our business partners is required
  • Strong project management skills: must be able to clearly lay out objectives, deliver on commitments, and coordinate analytics with colleagues in EM
89

Manager Risk Analytics Resume Examples & Samples

  • Running reports and queries (e.g requests from industry groups, business lines, Finance etc.) in MS Access and Base SAS. Participating in implementation of new reports as well as enhancements to existing reports
  • Aggregating and tracking feedback from internal stakeholders for Single Name Over-Threshold, Top 20 Exposures and other reports (adjustments, exclusions, customer types, etc). Updating tables on Sharepoint/Unixbox (e.g adjustments, general and special thresholds, mapping tables, FX rates, Balance Sheet gap file etc.)
  • Receiving, storing and analysing data extracts following GRM-ER internal procedures (e.g. technical compatibility/consistency, validation of totals, file name and directory conventions, reasonability check etc.)
  • Maintaining documentation and inventory for existing GRM-ER reports including data flow charts and internal processes. Communicating business requirements for the existing GRM-ER reports being automated by GRM-CIS and/or IT&S, and documenting requirements for GRM-ER expanded/new reports
  • Strengthening End-User Computing controls with respect to data storage, retrieval, and reasonability (e.g keeping robust and up to date auditable folders for the team’s reports, creating version controls, saving log files, moving files to Sharepoint, reorganizing files directory structure)
  • Producing and/or assisting with producing GRM-ER’s major reports (GRM quarterly report to the Board, Briefing Binder Report used by the Executive Management, MD&A, Supplementary, Over-threshold, OSFI Eurozone, Top 20 exposures, OSFI Credit Data Call, NCR, Industry Risk Appetite, Global Country Risk, Industry Analysis, ERM Collateral etc.), and organizing a report repository
  • Proven problem resolution skills
  • University degree (typically in business administration, economics, statistics or equivalent)
  • Strong computing, technical, and analytical skills. Good knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential
  • Base SAS, advanced knowledge of MS Office (especially Excel and Access), general understanding of relational databases and data mining. Ability to use SQL to run queries in different environments, and aggregate data from several sources in various formats
90

Risk Analytics Head Resume Examples & Samples

  • Demonstrates strong ethics and integrity
  • Able to “roll up sleeves” and work across levels in risk management and also with other operations and business teams
  • Excellent Presentation skills – adept at presenting effectively to audiences of various sizes and adapting style as necessary
  • Acts as a role model for managing people, coaching, and serving as a mentor
91

Global & European Senior Director for Risk Analytics Resume Examples & Samples

  • Master’s degree in a quantitative discipline, E.g. mathematics, statistics, finance & marketing, economics
  • Formal finance/ business training, MBA or CFA designation strongly preferred
  • 15+ years of experience in an advanced analytics area (Risk Models & Big data analytics)
  • E.g. in a major financial institution
  • Subject matter expertise in credit and operational risk in the financial industry
  • Exposure to the full credit life cycle (underwriting, portfolio monitoring, collection, recovery)
  • Advanced knowledge of underwriting practices and Credit Policy optimization
  • Very strong quantitative background and personal experience of building market leading credit scoring models, and driving high levels of automation
  • Experience building complex financial software and data warehousing tools: SAS, R, Business Objects, Microsoft Suite
  • Extensive & proven expertise in portfolio monitoring and managing the risk/reward equation
  • Sound understanding of accounting concepts, financial reporting, credit loss forecasting, reserving
  • Proven self-starter with executive reporting experience and strong project management and leadership skills
  • First class time management skills
  • Preferably: Six Sigma qualified (or equivalent)
  • Excellent verbal/written communication skills. Must be able to effectively communicate difficult concepts at all levels of the Organization as well as external business partners
  • Ability to effectively negotiate material contracts with outside servicers
  • Ability to manage and deliver on multiple priorities and tight timelines
92

Risk Analytics, Senior Resume Examples & Samples

  • Strong SQL experience and at least one analytical language
  • Perform R&D, data profiling, data modeling and data analysis
  • Develop data profiling, merging logic, matching logic for data analysis
  • Experience in ETL tools like Informatica is a plus
  • Familiarity with Hadoop environment – HBASE, HIVE tables and configurations for data modeling and data management for analysis work
  • Present ideas and recommendations on Hadoop and other technologies for best use for data management
  • Big Data languages such as R, Python, Spark for data analytics
93

Manager, Risk Analytics & Programming Resume Examples & Samples

  • Master's degree in Computer Science, Systems Engineering or related area with an undergraduate degree in Finance, Economics, Mathematics, Physical Sciences or Engineering that requires use of computational mathematics and/or statistical techniques
  • 2-5 years of quantitative experience
  • Strong analytical and appropriate coding skills necessary to develop and refine codes developed by others
  • Good understanding of statistical packages such as R, Python (SciPy Stack) or Stata
  • Strong technical skills with experience using relational databases
  • Good knowledge of web-enabled data protocols including JSON, JavaScript, HTML5 and similar
  • Strong communication skills with ability to translate technical concepts for non-technical audiences, including senior management and auditors
94

Director, Risk Analytics Resume Examples & Samples

  • 10 years finance and/or analytics experience in Healthcare required
  • Knowledge of PHM, risk contracts, analytics and financial drivers in risk deals
  • Individual must have be motivated, willingness to learn, and high-energy who can successfully complete assigned tasks and loves to be involved with new ideas and opportunities
  • Self-motivated, ability to complete assignments with minimal supervision
  • Ability to balance priorities and project demands
  • Good communication (written/verbal) and information gathering skills, and the willingness to interact with various groups
  • Ability to work in a team-oriented, matrixed and collaborative environment
  • Fluent in understanding risk contacts, Divisions of Financial Responsibilities
  • Identify and understand key drivers of financial risk contracts. In the collection and analysis of data view population health trends and patterns; individual health risks and high-risk populations; identify opportunities to improve health for targeted populations
  • Manage a team of analysts to streamline and improve business intelligence activities within PHM. This team will use Dignity Health’s claim data warehouse, population health tools, electronic health record, and other reporting systems to provide clinical and claims related reporting and analytics
  • Ensure that their team performs analysis and interpretation of data to demonstrate clinical and financial outcomes, within specified timeframes and frequencies
  • Design and develop clinical and analytical capabilities that will produce meaningful data that can be used by clinical and financial leaders to improve quality of care and lower cost
  • Analyzes and reconciles claims data for bundled payments, shared savings, and other payment innovation initiatives. Track success metrics and various reporting needs for participating facilities and as guided by relevant entities (e.g., CMMI, ACO partners, etc.)
  • From claims and other data provided by vendors and from payers prepares analysis of cost data to report financial performance of contracts
  • Develops trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies
  • Manage the day-to-day activities of high-profile, high impact projects supporting the development of quality and financial data analysis/analytics initiatives to identify and quantify cost reduction opportunities
  • Design and implement models, reports and visualations that qualify the division’s performance
  • Distill data into actionable projects for management, quality and clinical leadership
  • Educate clinicians of performance in risk based contracts by reviewing meaningful information
  • Communicate across departments to ensure that business user needs are met
  • Lead their clinical partners in the identification of statistically significant patterns and trends
  • Prepares and presents reports and recommendations for the leadership team
  • In collaboration with Population Health Management, Executive Director, Data Analysis, key stakeholders, IT, etc., designs and maintains regular dashboards on quality, financial information outcomes, population health management measures, and other metrics
95

VP, Liquidity Risk Analytics Resume Examples & Samples

  • Design quantitative models for liquidity risk management purposes
  • Work closely with the liquidity risk management team and the firm’s business units.*LI-CF2
  • MSc or PhD degree in a quantitative field, or equivalent background, with 5-15 years of work experience
  • Expertise in quantitative modeling
  • Knowledge of financial products, such as derivatives, margin loans and securities financing transactions
  • Programming skills
  • Familiarity with liquidity management and liquidity risk
  • Familiarity with trading operations
96

Manager, Risk Analytics Resume Examples & Samples

  • Lead the evaluation of Partners’ risk arrangements, including pay for performance, shared savings and risk sharing, both in the commercial, e.g., BCBSMA Alternative Quality Contract, and government sectors, e.g., Medicare Advantage and Medicaid ACO. Participate in the evaluation of alternative payment arrangements, e.g., bundled or episode payments, PCP panel payments, capitation, etc
  • Collaborate with Population Health Management counterparts to oversee implementation of related contract terms, assessment of network performance and monitoring of State reporting on total medical expense and trends in the cost of healthcare services
  • Develop presentation materials to lay out the context of issues related to the above, including relevant facts and analysis and options, such that decision makers are well informed and able to make key decisions in critical areas. Facilitate discussions at various committees
  • Participate in negotiating sessions with third party payers with respect to risk arrangements. Develop and review related contract language, in collaboration with Contracting and OGC colleagues
  • Oversee reporting of Partners’ revenue in risk arrangements and support Partners’ submission to the annual cost hearings
  • Oversee professional development of analytic staff and contribute to the department’s employee engagement efforts
  • Serve a resource for questions from colleagues and constituents regarding risk deals and related issues; manage the process for responding to ad hoc requests in a timely manner
  • Maintain constructive, professional relations with third party payers in order to represent Partners effectively
  • Maintain constructive, professional relations with key internal constituents, including Payer Strategy and Contracting staff, PHM Director for Financial Reporting and his/her analytic staff and OGC staff
  • Participate in department staff/related committee meetings
  • Bachelors degree is required (Masters preferable) in business, health care administration, finance, or related fields
  • At least seven years of progressively responsible experience in a complex healthcare environment
97

Credit Pol Risk Analytics Senior Resume Examples & Samples

  • Assess efficacy of and risks associated with existing and proposed policy changes
  • Recommend and develop sound mortgage credit policies and Guide changes in support of single family mortgage underwriting and origination activities
  • Provide policy and guide subject matter expertise to internal and external constituents, including FHFA and Sellers
  • Review communications and training materials to ensure compliance with credit policy
  • Provide insight to management on key policy issues and risks
  • Weekly and monthly management reporting activities
  • Effectively lead the development of credit policies and working with internal business partners to ensure all systems and other impacts are identified and addressed to ensure the successful implementation of the policy changes
  • An extensive knowledge of real estate appraisal methodology, mortgage loan origination industry financing methods, loan origination processes, underwriting, and investor loan eligibility requirements is required
  • Five to seven years of financial services related work experience is required
  • Credit policy experience
  • Ability to develop complex policy requirements
  • Knowledge of Freddie Mac Selling and underwriting guidelines
  • The highest level of professionalism, self-motivation, adaptability and flexibility to work in a fast changing environment with the ability to manage priorities and multi-task
  • Strong analytical and problem solving skills with demonstrated ability to receive assignments in the form of objectives and determine how to use resources to meet schedules and goals
  • Ability to act as an advisor to meet schedules and/or resolve challenges and problems and effectively lead a cooperative effort
  • Advanced studies/degree preferred
98

Risk Analytics Resume Examples & Samples

  • Receive incoming mail and allocate items with back-up papers as required. Divert, as appropriate, routine or less complex matters away from the MD
  • Prepare letters/documentation for signature by the MD
  • Respond to requests and send emails on behalf of MD as required and agreed. When appropriate, originate replies under own signature or draft response
  • Knowledge of financial services industry is of advantage
  • Numerate and financially literate
  • Has experience across a broad range of topics including planning and organisation, communications, control and relationship building
  • Significant experience in office management; and
  • Experience in supporting multiple Managing Directors and Directors at the same time
99

Market Risk Analytics VP Resume Examples & Samples

  • Regulatory related analysis on Market Risk Models: VaR, Stressed VaR, IRC, CRM and RNIV
  • Involvement in analysis and interpretation of key regulatory requirements
  • Strong quantitative analytics experience in delivering enhancements to Market risk models
  • Up-to-date working knowledge of regulatory requirements and change
  • Good knowledge of financial products is essential, including an understanding of risk representations (including greeks) and a solid understanding of risk management concepts such as VaR and Stressed VaR
  • Ability to demonstrate good judgment of risks and an understanding of the risk areas covered, including models and products
  • Ability to program in Python\Java
100

Assistant Manager Global Risk Analytics Resume Examples & Samples

  • Manages a team of data analysts to conduct data analysis in support of tool development (application development) tasks for BSA/AML Systems, Technology and Data Integrity projects include requesting, profiling, extracting, analyzing, testing, and reviewing data; developing formal reporting or ad hoc analyses of key categorical and transactional data; reviewing data quality to ensure reports and analyses are meaningful and accurate; requesting data and validating data formats; verifying control totals and record counts; authoring and testing code (both front and back end); authoring and executing both SQL queries and reports; and writing, executing, and documenting test scripts
  • Support delivery of business analysis initiatives for Group GRA globally across all business lines - RBWM, CMB, GBM and GPB for the full range of project management responsibilities and outreach and liaison activities
  • Ensure due observance of HSBC Internal Control Standards and Group Compliance Policy, including the timely implementation of recommendations made by internal / external auditors and external regulators
  • Support the delivery the GRA requirements for all AML TM Compliance risk models
  • The role will be given some supervisory guidance
  • The value of this role should be measured by the impact the team is expected to deliver in a continuously changing environment
  • Directly managed teams will deliberately be established as small teams of highly skilled, highly motivated change agents who will work as catalysts with the business partners to aggressively drive change
  • Minimum of a Bachelor's degree in a numerate or computer science, MIS, related field or equivalent experience
  • Strong database skills, including working with advanced data sets, pivot tables, advanced database and statistical functions and methods. Strong technical skills with experience using SAS, Oracle, MS SQL Server, MS Access and MS Excel (advanced functions) to query and analyze large data sources. Knowledge and hand on experience on big data platform and language
101

Head of Risk Analytics Resume Examples & Samples

  • Seasoned professional with experience in one or more senior risk compliance systems management roles or other related experience such as risk management, audit, examination, or similar control-related experience; advanced degree with professional certification preferred
  • Understanding of FCC regulatory landscape, e.g. Office of Foreign Asset Controls (OFAC) regulations, the USA PATRIOT Act, UKHMT and HKMA sanctions lists, and the Bank Secrecy Act (BSA), Anti-Bribery and Corruption and its regulations
  • Good working knowledge of Sanctions client screening systems such as WLM (SCDM), Oracle OWS etc
  • Good working knowledge of AML Transaction Monitoring systems such as Norkon, Actimize, etc
  • Understanding the importance and difference of screening for sanctions and other types of risk
  • Understanding of regional name alert volumes, effectiveness, risk appetite and operational alert discounting procedures
  • Extensive knowledge of financial crime risk regulation
  • Extensive experience of developing risk models
  • Ability to assess market and regulatory trends
  • Good understanding of other areas, e.g. Finance, Credit, ALM
  • Strong leadership, communication and engagement skills
  • Persuasive, including an ability to influence without direct authority
  • Seasoned professional with experience of senior stakeholder management
  • Proven track experience of developing and delivering strategic objectives
  • Accustomed to managing (directly & indirectly) senior professionals
102

Risk Analytics Resume Examples & Samples

  • Bachelor degree or higher qualification in IT, Computer Science, Engineering, Mathematics, Statistics, Commerce or equivalent field(s)
  • A solid technical grounding in SQL, SAS, VBA or other programming languages
  • Experience in working with data from financial systems
  • Strong attention to detail and thoroughness in following systems and procedures
  • Ideally, experience in visual communication of analysis (e.g. Tableau, QlikView, Qlik Sense, Power BI)
  • An understanding of the appropriateness of applying rules-based analytics and data-driven analytics
  • Ideally, exposure to project management principles
  • Ideally, experience in applying Risk Analytics to at least one of the following Risk Services solutions
103

Risk Analytics Resume Examples & Samples

  • Australian Citizenship with an active Security Clearance (or ability to obtain a Security Clearance)
  • A solid technical grounding in SQL (SQL Server), SAS (Enterprise Miner), VBA or other programming languages
  • Experience in using data visualisation software (e.g. Qlikview, Qlik Sense, Tableau, Power BI)
  • Experience extracting and analysing data from enterprise systems and other data sources
  • An awareness of the appropriateness of applying rules-based analytics and data driven analytics
  • Experience in applying Risk Analytics to at least one of the following industries - Government, Financial Services & Insurance, Energy & Resources
  • Ideally, an understanding of core accounting and business concepts
104

Risk Analytics Resume Examples & Samples

  • Experience in working with data from enterprise systems (e.g. FMIS, HRIS, etc.)
  • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlikview, Qlik Sense, Power BI)
  • An understanding of the appropriateness of applying rules-based analytics and data driven analytics
105

Senior, Risk Analytics Modeling Lead Resume Examples & Samples

  • LCR ( Liquidity Coverage Ratio)
  • SQL server and SQL Server Management Studio
  • PeopleSoft GL
  • Business Objects; and
  • Microsoft: MS Word, Excel, Visio, PowerPoint, and Microsoft Visual Studio
106

Intern, Risk Analytics Resume Examples & Samples

  • Statistical analysis (univariate and multivariate)
  • Ad-hoc report generation
  • Presentation of results
  • Data cleansing
107

Avp-derivative & Asset Risk & Analytics Manager Resume Examples & Samples

  • Partner with the head of derivative operations on strategic and tactical iniatives for streamlining and enhancing the systems and processes
  • Work on strategic recommendations and the ongoing strategic planning for derivative operations, including evaluating business processes, new software and automated processes
  • Project manage and work on the implementation of new systems, partnering closely with the following teams
  • A minimum 15 years experience with Derivative trade modeling and pricing
  • MBA, CFA, or other relevant post graduate education preferred
  • Work experience of the end to end life cycle of a derivative trade including documentation, collateral, valuation, pnl, and trade modeling
  • Experience with Numerix, Murex and Blackrock Aladdin
  • Experience in testing, development, and delivery of new systems
  • Ability to manage a “bottoms-up” approach in order to facilitate communication and understanding of the focus on risk management throughout the organization
  • Accomplished change management leader with outstanding communication and interpersonal skills
  • Exceptional multi-tasking and time management skills
108

VP-market Risk Analytics Resume Examples & Samples

  • Comprehensive understanding of Ruby application in all layers Risk Analytics, ETL, Market Data and Forecasting Analytics
  • Strong knowledge of OCI, EVE and EVS process
  • Good knowledge of Risk Analytics codebase
  • Good knowledge of Application landscape in Risk area
  • Experience in Risk analytics
  • 10 + years of overall development experience
  • Hands-on experience in application design and development in following technologies: Java/JEE/RDBMS/ Unix
  • Java Frameworks such as Spring , Hibernate
  • Well versed with Application lifecycle management
  • Good understanding of architectural patterns and ability to solve the problems with application of knowledge
  • Proficient in designing multi-threaded modules
  • Bachelor's degree required or equivalent experience
109

Credit Pol Risk Analytics Senior Resume Examples & Samples

  • Recommend and develop sound mortgage credit policies and guide changes in support of single family mortgage underwriting and origination activities
  • 5-7 years of financial services related work experience is required
  • Knowledge of mortgage industry financing methods and loan origination processes
  • Previous credit policy experience
  • Knowledge of Freddie Mac selling and underwriting guidelines
110

Portfolio Risk Analytics Prof Resume Examples & Samples

  • Perform in-depth credit analysis to assign credit ratings and risk limits in support of trading and investment activities
  • Maintain approved risk limits and ratings, analyze new business requests, and monitor creditworthiness of counterparties assigned to his/her authority
  • Stay abreast of industry issues and trends to be able to anticipate new or increased credit risks
  • Identify and escalate to management any counterparty concerns that would impact portfolio performance
  • Develop new reports to monitor counterparty strength when applicable
  • 2-4 years experience in the financial services industry, in areas such as credit or financial risk
  • BS in Finance, Economics, Accounting or equivalent experience
  • Strong communication skills, including written, oral and presentation
  • Strong knowledge of MS Excel
  • Knowledge of residential mortgage servicing industry and concepts desirable
  • Familiarity with concepts to assess a bank’s creditworthiness, along with capital market products
111

Ccb-risk Analytics Resume Examples & Samples

  • 7+ years of experience in risk data management, business analysis, or business reporting
  • A strong desire to learn how performance is measured across the various businesses we support
  • Experience working in large-scale corporate data environments resolving inconsistencies and challenges in the data
112

Assistant Manager Global Risk Analytics Resume Examples & Samples

  • The job-holder’s responsibilities cover all Traded Risk methodologies and model-related policies
  • The role is in the Global Risk Analytics (GRA), which is responsible for the definition and development of risk measures, models, related policies, and strategy for managing risk. This includes the development, refinement, review and on-going validation of risk measures and models used within HSBC
  • The role will involve working closely with the other Regional and Group team members
  • Good understanding of statistics and familiarity with sophisticated tools for numerical analysis (eg. Matlab)
  • Previous experience in either Risk Management or quantitative modelling
  • Open personality and effective communication skills, ability and flexibility to work in an international team
113

TFI Risk & Analytics AVP Resume Examples & Samples

  • Responsible for supporting the team in the design and implementation of the trading tools technology. This will include working with other members of the team to build tactically on-desk and assist in the effort to migrate onto strategic platforms
  • Support the R&A team in their role to shape IT strategy and prioritisation to achieve business objectives against a background of scarce IT resources. The role holder will assist in tracking and prioritization of IT development work
  • Engaging with multiple units across the Treasury space to understand trading requirements, ensuring to maintain constant visibility and communication lines remain open in the process
  • Supporting TFI and team members in technology projects (e.g. communicating requirements of TFI to business analysts, testing of new technology, and assisting the desk with adopting new technology)
  • Understanding and digest requirements of projects and plan workload appropriately
  • Interpret the MI demands and ensure MI is provided on a consistent, regular and reliable basis. Play a support role to the R&A team in anticipating any future MI needs across Treasury and help to establish infrastructure required to service such requests
  • Treasury Transaction Architecture migrating off Charms onto TCW, including market data consistency, trade representations, reconciliation of risk and P&L, reporting and flash P&L mechanisms. This provides a common Treasury Transactional Architecture that is critical to structural reform
  • Treasury Transaction Architecture migrating off T0PL onto Beowulf. Again, this will include market data consistency, reconciliation of risk and P&L, reporting and flash P&L mechanisms
  • The migration of curve publishing off spreadsheets onto T-Liro. This represents a significant delivery in terms of governance and accuracy around the economic curve marking
  • Evolution of the Hypercube Reporting platform, critical to the TFI business
  • Involvement in SRP commitments to create and support TFI in Barclays UK
114

Portfolio Risk Analytics Dir Resume Examples & Samples

  • Develop, implement, communicate, and maintain a holistic counterparty credit risk management framework to identify, monitor, mitigate, and report high risk and aggregate counterparty credit risk exposures
  • Approve and monitor risk exposure models and methodologies
  • Develop criteria and tools including Key Performance Indicators and Key Risk Indicators to support early identification of changes in portfolio risk composition and profile
  • Approve the framework and criteria used to evaluate counterparty probability of default and the assignment of risk ratings representative of the risk
  • Approve within authority, high risk exceptions for high risk counterparties
  • Monitor compliance with aggregate Board and management risk limits
  • Review and assess the business division counterparty credit risk policies, standards and procedures
  • Monitor and report against the Board and management level limits to the appropriate risk forum(s), senior management, the Chief Enterprise Risk Officer (CERO) and/or the Board as appropriate
  • Review criteria for (and monitor compliance with) counterparty minimum eligibility requirements
  • Review and monitor collateral standards and requirements
  • Evaluate and approve Watch List selection criteria for the management of high risk counterparties
  • Monitor monthly Watch List and provide regular reporting to the appropriate risk management committees, the CERO and/or the Board or relevant board committee, and the regulator
  • Annually assess Board Risk Limits and recommend revisions to the Board as necessary
  • Strong leadership skills including the ability to support development and communication of the strategic vision and operating plan to achieve the vision
  • Strong financial analysis skills and experience
  • Familiarity with regulatory framework including prudential standards and FHFA advisory bulletins
  • Strong understanding of mortgage and capital markets products and structures
  • Strong interpersonal skills including the ability to diplomatically but firmly deliver negative messages
  • BA/BS in business, finance or related field. Advance degree is useful or comparable work experience
  • Thought leadership in a highly dynamic and evolving environment in support of business objectives while ensuring a balance with the risk appetite of the enterprise
  • Background in financial analysis and/or auditing
115

Manager, Risk Analytics Resume Examples & Samples

  • 1) Perform strategic analysis and reporting to increase automated decisions and optimize risk-adjusted profit by
  • Researching, identifying and utilizing statistically-based methods for assessing, managing and optimizing risk strategies
  • Conducting ongoing analysis and review of current processes/procedures while constantly looking to improve strategy and operational efficiencies
  • Designing new and refine existing metrics, as appropriate, to better track the portfolio performance
  • 2) Partner with the Senior Manager, Strategic Analytics and Director in the production of risk strategies for origination and portfolio management by
  • Reviewing originations, portfolio management and collections reports, raising concerns and opportunities to management
  • Providing input into the design and development of new procedures and tools to address trends and risk strategies
  • Researching, testing, recommending and implementing the latest analytical techniques to analyze data, where appropriate
  • Providing recommendations to the Director and Senior Manager, Strategic Analytics regarding variable selection, score cut-offs, etc
  • Identifying, promoting and leading opportunities to improve efficiency and effectiveness of originations and portfolio management procedures including streamlining, automating and standardization
  • Preparing written strategy recommendations/business cases to present to executive and stakeholders, including the business line
  • Provide financial insights and analysis that will identify origination, delinquency and provision trends and inform revenue enhancement and loss mitigation decisions
  • Support the development of both risk and financial frameworks to further enhance the profitability and prudent credit risk exposure for the non-prime automotive portfolio and align with key GRM risk appetite measures
  • Designing proper champion/challenger testing to ensure proper measurement of strategies
  • 3) Conduct comprehensive and timely statistical analysis and execution of ad hoc reporting requests, ensuring accuracy and timely responses for use in Senior Management and Executive decision-making by
  • Reviewing statistical analyses/trends and providing recommendations to address any issues identified
  • Providing value-added insights and recommendations to the Director and Senior Manager Strategic Analytics
  • 4) Maintain a high level of individual performance, supports team performance and fosters a commitment and accountibility by
  • Actively improving the team’s analytical capabilities through the use of new techniques and knowledge sharing
  • Maintaining a thorough knowledge of existing strategies and methodology
  • Keeping up-to-date on best practices in risk management analytical methodologies
  • Adhering to regulatory and Internal Bank guidelines as required and maintaining awareness throughout the year
  • Ensuring the completion of all mandatory Bank Courses as required via My Learning Centre
  • Reviewing internal processes, workflows, job aids and proposed changes/modifications as required
  • 3-5 years working experience, with a proven track record using SAS/Enterprise Miner to design risk strategies as well as a deep understanding of credit bureau information
  • Analytical & problem-solving skills consistent with the ability to identify key issues from a broad range of alternatives, and recommend optimal solutions for various situations
  • Strong knowledge designing strategies for new account origination and their respective origination systems (Capstone, PowerCurve, TRIAD, Probe knowledge beneficial)
  • Excellent financial analysis skills with a solid grasp of profitability drivers and performance measurement tools/criteria
  • Sound personal computer skills, particularly in Excel and Power Point
116

Manager, Risk Analytics Resume Examples & Samples

  • Bachelor Degree in CS, Statistics, Economics, Operations Research or experience in related field
  • 6+ years experience in applying advanced analytics to answer business questions and provide actionable recommendations
  • 3+ years of experience managing direct reports focused on delivering analytics
  • Experience with SAS or R (or similar tools) required
  • Master’s degree in CS, Statistics, Economics, Operations Research or related field
117

Risk Analytics, Senior Resume Examples & Samples

  • Responsible to build and implements tools and methods to evaluate collateral, including evaluating appraisals
  • Monitor performance of current and new tools
  • Employ complex statistical analysis to build and evaluate tools that evaluate collateral and appraisals
  • Excellent coding (Python and/or R) and SQL programming skills
  • Ability to apply modelling and statistical techniques to solve analytics problems
  • Credit analysis experience
  • 3+ years of Python or R programming experience
  • Experience in analyzing and manipulating large data sets
118

Payments Risk Analytics Resume Examples & Samples

  • Terms and structure the required analyses
  • Work with large volumes of data; extract and manipulate large datasets, leveraging eBay’s massive and rich databases
  • Drive deeper understanding of the function thorough analytics and draw insights to drive business in right direction
  • Drive engagement with business units with accurate measurement and forecast initiative benefits
  • Rapidly learn new concepts (technical, risk, business, payments flow, external innovation in risk) is a critical success factor in this role
  • Tell data driven inspiring stories to drive impact at eBay
  • Recent MBA graduate in: Finance, Statistics, Economics, Computer Science, or equivalent major
  • High internet affinity and enthusiasm for e‐Commerce
  • Excellent logical, analytical and conceptual skills
  • Excellent Excel & Presentation skills and knowledge of SAP/BW systems would be a plus
  • Advanced SQL knowledge for the Analytics position
119

TFI Risk & Analytics VP Resume Examples & Samples

  • To bring a number of Treasury models used across Capital Management, Funding and Liquidity Management up to Group Model Risk Policy standards
  • Upgrade existing documentation working with Treasury disciplines
  • Engagement with Independent Valuation Unit to ensure model passes validation
  • Upgrade model and documentation in line with the Group Model Risk Policy requirements
  • Work across Global Treasury teams to review current Treasury models and their documentation
  • Identify gaps and weaknesses which require improvement
  • Then upgrade the model, documentation and implementation in line with Group Model Risk Policy requirements
  • Deliver this change to the extent it is holistic and allows for third party replication
  • Work with stakeholders across wider Treasury and Risk to ensure this is delivered in a timely manner and to a high standard
  • Assist all stakeholders in their understanding of the model and output and incorporate their requirements in to the solution
  • Engagement with the Independent Validation Unit to ensure the Model and Documentation receive full approval
  • Must have direct experience of model development and model documentation
  • A strong numerical degree
  • An analytic mindset
  • Willingness to up skill and work with stakeholders to develop knowledge of the products / assumptions
  • Strong interpersonal skills, with the ability to communicate and explain complex concepts in a concise manner to senior management across the organisation
  • Excellent written documentation skills
  • Excellent relationship management skills and the drive to go the extra mile for our stakeholders
  • Ability to hit the ground running and get to grips with the requirement quickly, before producing output which is in line with expectation
120

Dir Risk Analytics Resume Examples & Samples

  • Minimum of a Bachelor’s degree in a quantitative discipline
  • Minimum 10 years’ experience in a credit risk analytics or portfolio management role
  • Minimum 7 years’ experience developing data driven credit risk strategies for consumer lending products
  • Preferred experience working for a top 10 national U.S. bank
  • Exposure to risk strategies for originations, account management and collections
121

Dir Risk Analytics Resume Examples & Samples

  • Build credit risk strategies for originations, account management
  • Ensure strategies are within Risk Appetite and satisfy profitability hurdles
  • Responsible for integrating customer level risk scores into reactive and account management decisioning
  • Generate detailed and adequate reporting for portfolio performance and acquisition metrics
  • Lead a small team of analytic / statistician resources
  • Undertake ad-hoc data analytics as required
122

Risk Analytics, Mgr Resume Examples & Samples

  • Manage SFDM/ Data Warehouse projects/releases (Scope, Business rules, data model design, report metrics, business UAT testing). This is a hands-on role including data analysis, defining business rules logic and performing UAT testing
  • Gather business requirements from stakeholders and assist in documenting the requirements for IT implementation
  • Manage CAR data projects – Manages the implementation of new data consumption capabilities to meet CAR business needs in conjunction with Business Owner, Governance, Operations, and IT teams
  • Mentor and train staff in data warehouse/data mart/BI tools and technologies
  • Ensures requests for new modeling, analytic, dashboarding, and reporting capabilities are addressed in an efficient and effective manner
  • Develops and maintains a data consumption strategy inclusive of a multi-year roadmap
  • Leads large, strategic, cross-disciplinary business change efforts, often among members of a project team
  • Owns one or more processes, reports, procedures or products, and may also be considered analytical or procedural "experts" representing a unit or team on cross-function process or project deliverables
  • Perform hands on analysis to respond to business questions
  • Perform POCs to assess new technologies/capabilities
  • Provide timely, relevant, robust analysis to support credit-related business decisions
  • Hands on experience manipulating and analyzing large datasets (Structured and Unstructured data) using SAS/SQL or other tools such as ETL/Big Data Tools
  • Often must lead a cooperative effort among members of a project team comprised of IT and Business
  • Plan and manage resources to meet schedules and goals
  • Responsible for SFDM-CAR application performance assessments, Service Level Agreements and production support activities
  • CAR liaison for the SFDM BUG meetings, release planning and infrastructure projects
  • Degree in Statistics, Economics, Business, Mathematics, Computer Science or related field with 8-10 years related experience
  • 8+ years of data analysis experience, with a combination of business and technical skills
  • Strong quantitative, analytical, and problem-solving skills
  • Strong leadership aptitude and ability to engage others in developing risk management capabilities
  • 8+ years of hands on data warehouse /data mart experience designing large data marts/data warehouses and 2+ years of team management experience
  • Excellent communication skills (Verbal and Written)
  • Hands on experience with ETL function (structured and unstructured data) (Responsibilities should be within the last 6-12 months) or similar experience with BI tools for DW/DM
  • Strong SQL or SAS programming experience
  • Project Management and People Management experience
  • Manage Business UAT testing
  • Familiarity with CDW/SFDM – FMAC systems
  • 1 + years of building data lakes on Big Data/Hadoop platform
  • Experience working with JSON, XML and unstructured data processing
  • Experience with columnar databases
  • Hands on experience with one or more BI tools – Microstrategy, Tableau, Power BI
123

Ccb-risk Analytics Resume Examples & Samples

  • Practical expertise in contemporary analytical/data science methods
  • Experience with some or all of: SAS, R, SQL, Hadoop, Greenplum, Hive, Impala, Spark, Text Mining (or other comparable database)
  • Excellent analytical skills with a track record in solving problems through the use of data and analytics
  • Developing and communicating business recommendations and insights in easy-to-understand-way
  • Develop and maintain good working relationships with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others
124

Market Risk Analytics Resume Examples & Samples

  • · Directing research, modelling, development and analysis to ensure appropriate modelling and capture of risk, regulatory capital calculation, ongoing compliance with regulatory requirements, as well as the ability to communicate effectively
  • · Understanding the Value at Risk (VaR), Regulatory Stressed VaR modelling and regulatory capital framework, including the production, maintenance, documentation and continuous enhancement of the models
  • · Analyzing and explaining changes to VaR due to model/position changes, to ensure that the changes are as expected
  • · Partnering closely with audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis and working closely with other Market Risk departments
  • · Interacting with various Risk departments within the Firm including Market Risk, Model Risk Management, Credit Risk, Risk IT and Finance
  • · 10+ years of experience in market risk analytics
  • · Ph.D. in a quantitative field such as Finance, Economics or Mathematics, or equivalent
  • · Expertise is Fixed Income and Equities products
  • · Expertise in VaR methodologies including Full Revaluation Frameworks
  • · Expertise in Rates modelling including HJM and SABR frameworks
  • · Strong technical skills (R, Python, Matlab) for statistical and econometric analysis and proficiency in Excel and VBA
  • · Experience in model automation and production dealing with large scale data
  • · Strong communication, leadership and project management skills (role requires effective collaboration and consensus-building across a range of functional groups)
  • · Analytical thinking and problem solving skills
  • · Ability to present complex issues clearly, both verbally and in writing, is essential
  • · Attention to detail and the ability to work thoughtfully and independently and manage multiple projects
  • · Knowledge of regulations, regulatory documentation and rules is necessary
  • · Familiarity with FRTB guidelines
125

Risk Analytics, Mgr Resume Examples & Samples

  • Establishing polices and developing systems to validate income and assets to support the mortgage origination process
  • Develops risk modeling methods
  • Often must lead a cooperative effort among members of a project team
  • Manages the coordination of the activities within the group or department
  • Receives assignments in the form of objectives and determines how to use resources to meet schedules and goals
  • Develops and monitor project plans and performance
  • Acts as an advisor to subordinates to meet schedules and/or resolve technical problems
  • Present ideas and recommendations to management
  • 5+ years of data analysis experience, with a combination of business and technical skills
  • Excellent SAS and SQL programming skills
  • Detail oriented and excellent organization skills
  • Familiarity with project planning, risk management activities
  • 5+ years of SQL, SAS, R, Python programming experience
126

Ccb-risk Analytics Resume Examples & Samples

  • Experience with Teradata and data ETL in a big data environment
  • In depth knowledge and experience with extracting CCB data from Chase’s data warehouses
  • Developing and communicating business recommendations and insights in easy-to-understand-way leveraging data to tell a story
  • Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts
127

Risk, Analytics Manager Resume Examples & Samples

  • Monitor performance of existing risk functionality (scorecards, credit bureau attributes, credit policy and processes) using statistical analysis tools, identify new enhanced functionality and recommend changes to leverage technology in optimal risk management
  • Aid in the development of PD, LGD and EAD metrics for end-user accounts to better align communication of risk across the portfolio
  • Perform sensitivity/scenario analyses by segments, individual product lines, and across the consumer lending portfolio. Design and implement champion/challenger strategies, and perform simulations of the impact of new strategies
  • Develop new risk scorecard models based on external and internal data. Design and document scorecard validation procedures for those models
  • Partner with Auto Decisioning Risk Manager to increase level of consumer auto decisioning in accordance with company FY end targets. Work with IT to build technical and analytical work streams to test future state auto decision capabilities in a virtual environment
  • Work with Risk groups like Collections and ALLL Forecasting to integrate sub-segment trends and findings into auto decision strategies
  • Oversee documentation and process mapping of rules and workflows in the Loan Origination System (LOS) and Decision Engine as well as external integration points
  • Manage the execution and development of complex SOX models
  • Manage one or more risk analysts and consultants
128

Mgr, Portfolio Risk Analytics Resume Examples & Samples

  • Master’s or Ph.D degree in statistics and/or quantitative analysis is required
  • Management experience is preferred
  • Experience in the consumer lending industry is preferred
  • Experience in using Microsoft Access, Excel, and Word is required
  • Experience in using Base SAS, SAS E-Guide, SAS E-Miner, R, or any statistical computing language is required
129

Svp-enterprise Risk Analytics, Santa Ana Resume Examples & Samples

  • Responsible for identification and quantification of enterprise and line of business risks; based on the three pillars of risk management: Credit, Market and Operational Risks
  • Oversee preparation, data compilation, and financial/statistical analysis of impact of macro-economic factors on Company’s Balance Sheet and P&L, and stress scenarios
  • Responsible for design, development, documentation and maintenance of portfolio level stress test models, including PPNR, credit loss and RWA forecasting
  • Communicates with LOB management regarding quantification of LOB specific risks; providing information and technical support in development and revision of risk plans
  • Oversee creation and maintenance of statistical challenger models and reports; plans and monitors timelines to meet strict deadlines in regulatory reporting
  • Oversee the design and development of predictive analytics allowing risk mitigation
  • Supports senior management in completing managerial reporting and analysis of enterprise risk monitoring
  • Performs personnel actions including performance appraisals, disciplinary actions, and interviewing candidates for employment; supervises the daily activities of the team including, but not limited to, effective delegation of assignments, developing work schedules and providing necessary training
  • Ability to collaborate with other stakeholders in model design, review and interpretation of model outputs
  • Must demonstrate general knowledge of credit, operational and market risk measurement and management
  • In-depth knowledge of Bank administration, operations, products and services; related state and federal laws and regulations, and other Banking operational policies and procedures
  • In-depth knowledge of Bank balance sheet and assessment of inherent risks
  • Experience, knowledge and training in all operational and lending activities and terminology
  • Strong analytical skills and ability to analyze and interpret financial and operational data
  • Exceptional verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, write reports, correspondence and procedures, and speak clearly to customers and employees
  • Ability to deal with complex problems involving multiple facets and variables in non-standardized situations
  • Ability to lead a team of quantitative analysts that apply math and financial concepts to business models
  • Ability to work with no supervision while performing duties
  • Bachelor’s degree in Math, Economics, Finance or other quantitative fields; Master’s Degree preferred
  • Must demonstrate knowledge of credit, market and operational risk measurements and management
  • Advanced working knowledge and skills of Excel and statistical modeling packages
  • 12+ years of related experience with bank asset / liability management tools and techniques, as well as credit analysis and regulatory requirements
  • Experience in statistical modeling in Financial Services industry
  • Work related experience must consist of experience in the Banking industry
  • Knowledge of Bank administration, lending and operations products and services; related state and federal laws and regulations, and other Banking operational policies and procedures
  • Superior understanding of issues surrounding handling and analyzing large data sets
  • Knowledge of bank asset/liability management tools and techniques
  • Exceptional verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, train personnel, write reports, correspondence and procedures
  • Current California driver’s license and a vehicle with appropriate insurance coverage if required to drive in the course of performing duties and responsibilities
130

Portfolio Risk Analytics Manager Modeler Resume Examples & Samples

  • Work on Multi-Factor Risk and Analytics Models for Equities, Rates, Multi-Asset Funds and Alternatives
  • Stress Test Investment and Portfolio Risk Models for performance
  • Conduct Quantitative Research to implement VaR and Tracking Error model enhancements
  • Manage and mentor a team of quantitative modelers
  • Provide Subject Matter expertise on multi-asset portfolio risk modeling
131

VP, Risk Analytics Resume Examples & Samples

  • Provide analytical research through data analysis an quantitative methods to support capital planning, business initiatives and the firms risk appetite framework
  • Support ongoing quality control, promote sound practices that are both efficient and resilient, and continually search for improvements in analytic processes, metrics, and parameters
  • Mentor junior staff in quantitative data analysis, various models and tools used in credit analytics, and general operations while fostering growth and teamwork within the organization
  • Support Analytics team in various ad-hoc analyses
  • Maintain the enterprise-wide model inventory and manage the annual inventory certification process
  • Perform independent validations of all models, and significant model changes, within the scope of the Bank's Model Governance policy, and manage the resolution of findings with model owners and users
  • Monitor performance of high-risk models
  • Verify model performance, limiting behavior, response to stress/extreme input conditions
  • Inventory all key underlying assumptions of each model and quantify the degree of incumbent model risk
  • Interpret test results within the context of model applicability
  • Support relationships with regulators and internal audit
  • Partner with business to require immediate changes or suggest future improvements to the model
  • 5-10 years of banking experience in Risk Management, Front or Middle Office functions with in-depth knowledge of marketable credit products
  • Strong quantitative skills and programming skills in VBA and SQL, Advanced MS Access and Excel skills is a must
  • Advanced mathematics, probability, and statistics
  • Model validation and performance monitoring, Market risk models and modeling approaches, and Economic capital models and modeling approaches
  • Working knowledge of one or more of the following programming platforms: SAS, C++, SQL, Visual Basic, or MatLab
  • Experience in RiskMetrics, VaR Model, MKMV's Risk Frontier is preferable
132

Risk Analytics Forecasting & Production Manager Resume Examples & Samples

  • Candidate should have an understanding of economics, business and analytics, and should be able to translate quantitative results into meaningful and actionable recommendations
  • Experience working with quantitative or financial models is a plus; knowledge of PD/EAD/LGD constructs also a plus
  • Candidate should be able to demonstrate experience working with information and drawing meaningful insights using analytical techniques, as well as the ability to present and communicate those insights to a non-technical audience
  • Candidate will be responsible for working with the current state of the forecast production process while helping lead the transformation effort to support IFRS9 and CECL compliance
  • Candidate will be required to ensure alignment of projects to strategy
  • Candidate may manage other Risk Analysis Specialists and coordinates the production of databases, performance reports for senior mgt
  • Candidate will work closely with the analysis team and other corporate units to insure alignment of analysis with business strategies and objectives
  • Effective leader with proven results
  • 7-10 years of experience working with various members of the supply chain with a focus on driving continuous process improvements
  • Comfortable working with large amounts of data, extrapolating meaningful insight from quantitative or technical results
  • High proficiency with MS Excel, Visio, Power Point
  • The ability to work well in a team environment
  • Evidence the following characteristics: assertiveness; attention to detail; initiative; leadership; strong work ethic; team focus
  • Experience with CCAR / DFAST Regulatory Submissions
133

Manager, Risk Analytics Resume Examples & Samples

  • Manages a Risk Analytics unit, division, or function
  • Responsible for ensuring effective challenge related to models used in capital estimation, regulatory reporting, external financial statements, and for other business or functional purposes
  • Conducts the performance management process, identifies training and development needs, and establishes standards for the function
  • Oversees and directs the validation of models across the enterprise-wide model inventory
  • Evaluates and develops a model validation framework in relation to corporate objectives and industry leading practices. Provides strategic direction on projects to achieve desired future state
  • Makes staffing decisions, manages expenses, and salary review process for the division
  • Participates in developing division strategic plan and sets goals and priorities based on the direction set for the unit; follows through to ensure that objectives are met
  • Provides leadership and guidance to staff, fostering an environment that encourages employee participation, teamwork, and communication
134

Risk Analytics & Capital Management Resume Examples & Samples

  • Maintaining solid understanding of rapidly evolving regulatory capital requirements inclusive of, but not limited to, Basel II Pillar II ICAAP Supervisory Requirements and MAS's regulations regarding capital planning for banks. In addition, the individual will be responsible for formulating associated audit strategies and plans to cover Basel II Pillar 2
  • Independently assess the Bank’s economic capital quantification framework with due considerations to pro-cyclicality and stress sensitivities within the Bank’s ICAAP including governance of quantification practices, and ensuring risks have been properly identified and appropriate methodologies and procedures are in place
  • Assess the adequacy of required capital estimates within the Bank’s Internal Capital Adequacy Assessment Process (ICAAP) and prepare required documentation to support the assessment to senior management and the Board
  • Involvement in reviews relating to Credit risk, Market risk and Liquidity risk analytics
  • Planning the internal audit plan using risk-based approach
  • Manage projects effectively to ensure completion within expected timeline
  • Identify, analyse, communicate and report audit findings/ recommendations clearly, accurately and objectively. Present findings to the management
  • Implementing audit-related initiatives
135

Head of Risk Analytics Resume Examples & Samples

  • Provide commercial insights with an external and enterprise lens which supports senior management in “connecting the dots” and making more informed decisions
  • Take lead on development of risk insights for risk committee reporting – Group Chief Risk Officer, Divisional and end to end risk committees. This includes the development of a scenario testing plan for credit and operational risks
  • Lead the development, through engagement with stakeholders a pipeline of analytical deep dives than deliver to the plan
  • Consider changes in the external (market & regulators) environment and development insights on how this will impact the Consumer Lending Portfolios
  • Develop and deliver the model peer review annual plan for models and significant calculators across Consumer Lending and Marketing
  • Evidence improvement in models and calculators reviewed as a result of actions from reviews
  • Lead analytical coaching to build capability across team
  • Demonstrated experience in leading risk analytics teams and strong knowledge of operational and credit risk principles, developed within banking and financial services
  • Ability to coach, develop and uplift team capability through 1-1 and team sessions
  • The ability to engage, build relationships and influence stakeholders at senior levels
  • Ability to implement and oversee ongoing projects and initiatives
  • Tertiary qualifications in Commerce, Mathematics, Risk Management and other relevant courses will be highly regarded or equivalent business experience