Risk Modeler Resume Samples

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C Gorczany

Chad

Gorczany

3732 Leo Path

Detroit

+1 (555) 463 4732

3732 Leo Path

Detroit

Phone

p +1 (555) 463 4732

Experience Experience

Boston, MA

Risk Modeler

Boston, MA

Johnston Group

Boston, MA

Risk Modeler

Liaising with quantitative developers of the firm and providing leadership during infrastructure development
Participating in project work around improvements to credit risk parameters
Working on methodology to improve overall scenario analysis and execution
Assisting in the development of credit risk rating models at single obligor and transaction level
Performing ad-hoc analysis
Further develop the Standardized methodology including both risk modeling aspects and business liaison aspects
Assisting in the preparation of regulatory (e.g. Pillar III) disclosures relating to Basel II, CRD IV

Dallas, TX

Experienced Risk Modeler

Dallas, TX

Crooks, Cormier and Daugherty

Dallas, TX

Experienced Risk Modeler

Stress testing methodology development. This would include development of
Stress testing impact analysis and documentation of results for presentation to Senior management, Board and Regulators
Testing and documentation of models for validation
Challenger models to cover material contributions of firm-wide scenarios
Scenario calibration models
Scenario Design and Expansion execution
Top down and bottom up risk identification and quantification

present

Phoenix, AZ

Senior Risk Modeler

Phoenix, AZ

Greenholt-Zemlak

present

Phoenix, AZ

Senior Risk Modeler

present

Team is properly trained, knowledge sharing established and working together productively
Analyze model performance over time & identify areas for model improvement
Perform data analysis as part of model performance tracking
Develop and inculcate healthy and collaborative work environment
Pro-active team management and development
Improved constructive collaboration with other Credit Analytics teams
Execute models & interpret results; present models & results to sr. mgmt. & other internal customers

Education Education

Master’s Degree in Quantitative

Liberty University

Master’s Degree in Quantitative

Skills Skills

Highly Detail Oriented
Strong communication skills with the ability to express complex financial instruments in simple terms
Good VBA & SQL knowledge
Ability to build strong relationships with peers, line of business managers and colleagues across the Bank
Should have knowledge of basic programming, algorithm
Strong technical skills, thorough knowledge of credit risk and derivative products with relevant banking/financial products experience
Strong communication skills with the ability to express complex financial instruments in simple terms
Good Communication skills
Knowledge of database and mainstream programs (Access/Excel) and some programming skills (VBA, C++, etc.) is an advantage
Being responsible for deliverables

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14 Risk Modeler resume templates

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Risk Modeler Resume Examples & Samples

Minimum of a Master's degree in a field that provides a strong background in finance, economics and statistical methods. Ph.D. degree is strongly preferred
Minimum of 5-year experience in developing credit risk models within financial institutions
Handle projects independently with a minimum of oversight and supervision and should be able to make contributions to the group's knowledge base by proposing creative and valuable ways for approaching problems and projects
Excellent communication skills are required, as the incumbent will frequently be called upon to make presentations to the senior management and to write documents that describe work products in a clear manner

Ccb-risk Modeler Resume Examples & Samples

5 years of experience in developing statistical and econometrics models within financial institutions
Strong preference will be given to those with consumer scorecard development experiences using internal and external data
The candidates that do not meet all the qualifications may be considered for a lower level of the position (Risk Modeler II)

Ccb-risk Modeler Resume Examples & Samples

Minimum of 5-year experience in developing loan-level loss forecasting models and credit risk models within financial institutions
Possess a thorough understanding of the risk drivers of the models and their applications in estimating default and prepayment risk and potential losses
Successful candidates will have had statistics or econometrics courses at the graduate level. Besides basic statistics, the incumbent should have a solid theoretical knowledge of regressions with categorical dependent variable such as logistic and probit and regressions with limited depended variable such as Tobit and survival modeling
Knowledge of linear and non-linear regressions and time series econometrics is also desired
Intermediate level of SAS skills, especially in modules such as SAS/Base, SAS/STAT, SAS/Macro, data mining and simulation because SAS is heavily employed in creating data sets, ad hoc analyses and modeling

Mrad-risk Modeler Resume Examples & Samples

A post graduate degree or equivalent expertise in operations research or statistics or econometrics or other related fields with emphasis in quantitative methods
Must have in-depth knowledge in building /validating linear and non-linear models
Must have in-depth knowledge in applying classification/decision tree algorithms, sequencing/association tools, and/or other linear and non-linear modeling techniques
Strong data handling and problem solving skills with the ability to process large volume of data and efficiently derive actionable results
Strong Knowledge of SAS or S+ and SQL required

Risk Modeler Resume Examples & Samples

The candidate will have to monitor, understand and analyse the market risk and to support the SRM cluster manager and the NSU team
Liaise with other departments and support/manage project deliveries
Candidates without banking experience but a strong academic background will be considered
Working knowledge in any asset classes and/or their derivatives will be considered
Competent in using Microsoft Office suite (powerpoint, excel, basic vba programing)
FRM qualification is a plus

Risk Modeler Resume Examples & Samples

Ph.D. or Master Degree with specialization in Statistics, Economics, Finance, Engineering or other quantitative fields
5+ years hand-on statistical risk modeling experience of building application and behavior models, at least 3-year in financial industry with demonstrated proficiency in each step of scorecard development. Risk modeling experience in business banking field will be a plus
Understanding of regulatory requirements. Prior experience with years of face-to-face interactions with regulators and internal auditors is preferred
Strong writing skills and clear oral communications
Experienced in SAS and other Statistical Software

Risk Modeler Resume Examples & Samples

Master's degree or Ph.D
Degree in a quantitative discipline is preferred (e.g. Economics, Finance, Mathematics, Statistics, Physics)
5+ years of experience in a quantitative analysis or development role for a bank or finance company; experience with commercial lending is preferred
Knowledge of modeling techniques such as logistic or linear regression
Programming background in SAS (Base, STAT, and/or Enterprise Guide)
Extensive hands-on data analysis and econometrics modeling experience with large data sets
Experience and or knowledge of regulations relating to capital adequacy such as Basel II/III is a plus
Working knowledge of VBA, C/C++, SQL, SPSS, S-Plus, R
Ability to build strong relationships with peers, line of business managers and colleagues across the Bank

Risk Modeler, Senior Resume Examples & Samples

5+ years of experience in positions of increasing complexity and leadership in the financial services industry or risk-consulting industry
2+ years of experience in project leadership roles and with managing multiple task assignments and leading small cross-functional teams
Ability to deliver results on projects that require a grasp of cross-functional subject matter, including people, process, and technology aspects of change across multiple business units a plus
Ability to thrive in chaotic and fast-paced environments with rapidly changing requirements
Ability to travel up to 100%
Experience in a consulting environment with significant client interaction preferred
Ability to analyze complex data sets, evaluate alternatives, develop insights, and recommended client solutions
Possession of excellent core consulting skills, including analytics, executive communications, project management, or process design
Possession of excellent facilitation, interpersonal, and communication skills to interact with all levels
Possession of excellent analytical problem-solving and conceptual thinking skills
MBA, MA, or MS degree in Economics, Statistics, Mathematics, or Engineering
CISSP or similar Certification

Credit Card Risk Modeler Resume Examples & Samples

Develop, interpret and implement statistical models to predict customer behavior applicable to Credit Risk initiatives such as targeted acquisition, retention and behavior-triggered programs
Monitor and track performance of models in production to determine degradation and the need for recalibration or redevelopment
Provide support to Model Governance, Capital Risk Modeling team, internal and external Audit
Dive into large amounts of structured and unstructured data to extract information, gain insight and create predictive variables to be used as inputs into models
Effectively communicate findings and insights gathered throughout model development to internal partners in a concise and easy-to-understand way
Recommend adoption of new techniques/processes to enhance the current modeling environment
Interact with internal stakeholders to gather the requirements from the business and be able to translate them into technical terms and vice-versa. Also, the incumbent is expected to gauge the effort needed to develop models/analyses and provide realistic timelines and recommendations keeping in mind the end product and overall expectations
Masters or Ph.D. degree in a quantitative discipline such as statistics or economics, or at least five years experience in a data analytic or otherwise quantitative role
Substantial in depth experience in use of advanced statistical techniques such as discrete-choice models, survival analysis, time-series analysis, neural networks and general regression techniques
Excellent programming skills, preferably in SAS
Superior organizational abilities and project management skills, evidenced by completion of concurrent, complex projects
Working experience in an financial institution will be an asset
3-5 years practical statistical experience in a business or academic setting

Assitant Risk Modeler Resume Examples & Samples

Checking for any discrepancy between pre and post trade analysis
Strong technical skills, thorough knowledge of credit risk and derivative products with relevant banking/financial products experience
Ability to work well under stress and tight timelines with a minimum amount of supervision
Strong communication skills with the ability to express complex financial instruments in simple terms

Market Risk Modeler Resume Examples & Samples

Master or above degree holder in quantitative fields, such as Financial Engineering, Computational Finance, Risk Management, Finance, Physics, Math or Economics
Over 7 years of experience in market risk or market risk modeling or implementation, in any of the area of VaR, Stress test, IRC calculations at major investment banks' Risk Modelling or IT department
Hands-on experience in prototyping, testing and implementing models
Expertise in risk management and of the Basel 2&3 market risk capital rules - ideal
Experience in coordinating different teams in achieving successful delivery of major projects
In-depth knowledge of fixed income products - rates, FX etc
Programming and system skills: Matlab is required
Confident communicator with good soft people skills and management skills
Ability to build effective relationships and liaise effectively with key business areas and management at all levels of the organization
Strong desire to embrace and drive change with strong influencing ability
Able to work in a dynamic and multinational culture and cope with high pressure

Risk Modeler Resume Examples & Samples

Develop and support credit risk rating models at single obligor and transaction level
Assisting with regular Basel II credit risk parameter (PD, LGD, CCF) updates, involving performing core technical modeling, and liaison with independent validation teams and across the risk and finance functions
Assisting in the preparation of regulatory (e.g. Pillar III) disclosures relating to Basel II, CRD IV
Participating in project work around improvements to credit risk parameters
Participating in our regular dialogue with our supervisors where appropriate
Writing and maintaining detailed technical documentation and preparing presentations for senior management and bank supervisors

Senior Risk Modeler Resume Examples & Samples

The objective of the role is to lead the CSST- Mumbai and as a subject matter expert provide necessary direction and support to ensure the deliverables are met timely while maintaining the CS standards. This would require working closely with the colleagues in London and NY to support changes/enhancements to the CSST framework and additionally support credit stress testing reports for regulators as well as credit officers
Ensure delivery of high quality quant analysis and business support to CRM and FO at transaction and portfolio level
Ensure that the external audit and regulatory commitments are met within agreed timelines
Collaborate with stake-holders in rolling out the changes/enhancements in line with Credit Analytics roadmap and key change initiatives
Ensure appropriate stakeholder management by pro-active communication of upcoming changes
Timely response to all business requests from CRM and other stakeholders
Improved constructive collaboration with other Credit Analytics teams
Understand the existing processes and systems (and interdependencies)
Ability to map these to existing infrastructure (people & processes) in Credit Analytics and various strategic initiatives / projects taken within the group
Take initiatives to share knowledge with the team and promote cross team KTs
Using this knowledge to improve existing systems/processes
Pro-active team management and development
Ensure resources - systems/processes/people are organized effectively and efficiently
Develop and inculcate healthy and collaborative work environment
Team is properly trained, knowledge sharing established and working together productively
Will need to take ownership of any task and see it through. Be a thinker and take proactive steps to improve process continually in order to take it to the next level. Should be comfortable working under Strict timelines

Experienced Risk Modeler Resume Examples & Samples

Top down and bottom up risk identification and quantification
Stress testing methodology development. This would include development of
Scenario calibration models
Challenger models to cover material contributions of firm-wide scenarios
Testing and documentation of models for validation
Scenario Design and Expansion execution
Stress testing impact analysis and documentation of results for presentation to Senior management, Board and Regulators

Risk Modeler Resume Examples & Samples

Developing internal risk analysis and pricing models to analyze investment opportunities
Being part of the deal team in pricing/analyzing investment opportunities
Advising the portfolio managers with risks, potential issues
Liaising with quantitative developers of the firm and providing leadership during infrastructure development
Developing portfolio level risk reporting/analysis tools

Ass Risk Modeler Resume Examples & Samples

Should have experience with at least one of the following
OTC Derivatives (At least one asset class), Secured Financing Transactions
Computation of risk metrics (e.g VaR, EPE, PFE, Greeks)
Market Risk (or Counterparty) historic VaR calculations
MBA/Analytical/Numerical degree
Good Communication skills

Junior Risk Modeler Resume Examples & Samples

Determining and publishing Loan-to-Values for PB Lombard lending
Be a close partner and central point of contact for all standard LTV questions from FO and CRM
Ensuring a high service level and fast time to market for global PB Lombard lending
Maintain our database and ensuring due diligence of our database
Educate front office and credit risk management in respect to standard LTV methodologies
Provide stakeholders with ad-hoc analysis

Catastrophe Risk Modeler Resume Examples & Samples

Bachelor’s Degree from a Four-Year College or University – Concentration in fields such as Mathematics, Finance, Sciences, Engineering, Economics, Business, etc
Actuarial Exam(s), GIS, and familiarity with data manipulation software such as SQL and Microsoft Office products a Plus
Computer Programming skills a Plus
Diverse, well-rounded background
Ability to Apply Basic Mathematical Concepts

Catastrophe Risk Modeler Resume Examples & Samples

Ability to Apply Basic Mathematical Concepts - (Higher Quantitative Skills a Plus)
Excellent Work Ethic and Organizational Skills
Strong Interpersonal Skills and Team Orientation
Innovative Thinker and Creative Problem Solver
Highly Motivated and Takes Initiative
Solid Written and Verbal Communication Skills
(Proven Public Speaking and Presentation Skills a Plus)
Proficient with Information Technology, particularly Microsoft Office Products

Risk Modeler Resume Examples & Samples

Development and prototyping of Collateral and Wrong Way Risk methodologies and Credit Exposure Models
Validating methodology changes related to Internal Models Method (IMM) for exposure computation
Implementing methodology changes in strategic initiatives and Collateral haircut and margin period of risk
Regulatory changes in collateral methodology and regulatory requests: - detailed investigation into risk limit breaches from FCCM methodology and assisting in regulatory requests
Provide technical support implementation of collateral concentration framework, in line with BCBS IOSCO requirement
Maintain and enhance the routing tables used to route trades to the most appropriate calculators
Other bespoke requests regarding exposure analysis for several audit or regulatory reports
Running and maintaining all tactical tools (in MS Access and MS Excel) for exposure measurement used globally. These tools are in place to
Calculate counterparty exposures for particular product types,
Update parameters that are used in counterparty exposure calculations
Should have experience/Knowledge with at least one of the following
MBA/Analytical/Numerical degree from Tier-1 college

Risk Modeler Resume Examples & Samples

Further develop the Standardized methodology including both risk modeling aspects and business liaison aspects
Research, development and implementation for Standardized FRTB for DRC calculation and reporting approaches in a continuous improvement cycle that the team undertakes, contribute to the Bank’s delivery on major regulatory initiatives related to methodology
Take part in IRC methodology development

Senior Risk Modeler Resume Examples & Samples

Advanced / Master’s degree in finance, mathematics, econometrics, engineering or other quantitative subject. Candidates from other streams who are able to demonstrate solid quantitative understanding to be able to understand the stress testing framework in depth are welcome to apply as well
Good Communication skills (oral and written): Ability to communicate logically and precisely, including writing extended documentation
Highly Detail Oriented. This role requires hand-on approach along with management oversight
Team management experience would be advantageous and desirable

Risk Modeler Resume Examples & Samples

Development and prototyping of Wrong Way Risk methodologies and Collateral and Credit Exposure Models
Implementing methodology changes in strategic initiatives for Wrong Way Risk Exposure calculations in the bank
Regulatory changes in wrong way risk methodology and regulatory requests: - Implementing these changes into tactical processes and performing impact analysis before implementing them in system
Provide technical support implementation of Waterfall logic for keys in Correlated Collateral framework, in line with BCBS IOSCO requirement
Running and maintaining all tactical tools (in MS Access and MS Excel) for exposure measurement used globally. These tools are in place to Calculate counterparty exposures for particular product types, and to update parameters that are used in counterparty exposure calculations

Risk Modeler Resume Examples & Samples

Development and prototyping of Back Testing methodologies. Back-testing of Monte Carlo Credit Exposure Models
Back Testing Counterparty Credit exposure calculations according to Basel 3/CRD4
Responsibility for the development of capital relevant risk methodologies in the derivatives area for FINMA, PRA and SEC
Possibility to support the IT strategic implementation of complex risk and simulation systems
Close collaboration with several internal stakeholders in the Investment Bank of Credit Suisse (front office, reporting, CVA desk and other risk departments)
Working knowledge of at least one of R, MATLAB, Python or C++ is a must, VBA, SQL, and Office package is highly recommended
Experience of at least one of the following topics: Numerical simulations, Monte Carlo, derivative pricing / modeling

Risk Modeler Resume Examples & Samples

Setting up various scenarios for different asset classes - Equity, Currency, Interest Rates, Commodities and Credit
Analyzing the overall trade and collateral impacts for various scenarios
Working on methodology to improve overall scenario analysis and execution
Communicating with CRM and FO to explain impacts for different scenarios
Access requirement and Test any future upgrades to scenario execution tools
Performing ad-hoc analysis

Market Risk Modeler Resume Examples & Samples

Develop models and analytics for quantitative risk measures. This involves designing and implementing methodologies to identify market risk factors and capture their economic and statistical characteristics. Model development will be based on a deep understanding of derivatives pricing theory, financial markets and instruments, as well as statistical model building
Provide comprehensive documentation of model assumptions, design, implementation, and limitations
Evidence model correctness by testing the appropriateness of model assumptions and conducting sensitivity analysis
Design tests to monitor the performance of the models and their implementation on an ongoing basis
Operate under model control policy
Perform bespoke pricing, risk and capital impact analyses for a variety of financial derivatives
Broad exposure to pricing and calibration models, risk and capital models for a variety of financial products
Exposure to challenging quantitative problems such as modeling market risk for derivatives, large scale Monte?Carlo simulations of complete portfolios across the firm, and fast approximation of market risk measurements
Development of quantitative and programming skills as well as product and market knowledge
Opportunities to work with other groups in various areas of the firm
Advanced degree (PhD preferred) in a quantitative field such as Engineering, Mathematics or Physics. Holders of BS degrees with relevant technical work experience will also be considered
Excellent command of mathematics, modeling and numerical algorithms. Deep knowledge of statistics and time?series analysis is highly desirable
Strong programming skills and experience. Proven ability to perform analysis and problem?solve using computational tools
Self?motivated team player

Senior Risk Modeler Resume Examples & Samples

Execute models & interpret results; present models & results to sr. mgmt. & other internal customers
Analyze model performance over time & identify areas for model improvement
Document models & analytic processes
Perform ad hoc analyses for internal customers
Perform data analysis as part of model performance tracking
Test alternative modeling approaches to identify accurate tools that meet business needs
Ensure compliance with applicable federal, state and local laws and regulations. Complete all required compliance training. Maintain knowledge of and adhere to Flagstar's internal compliance policies and procedures. Take responsibility to keep up to date with changing regulations and policies

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