Manager, Modeling Resume Samples

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J Kutch

Jade

Kutch

833 Delia Walks

Philadelphia

+1 (555) 889 5414

833 Delia Walks

Philadelphia

Phone

p +1 (555) 889 5414

Experience Experience

Los Angeles, CA

Manager, Predictive Modeling

Los Angeles, CA

Grimes, Sanford and Oberbrunner

Los Angeles, CA

Manager, Predictive Modeling

Performs data management through a combination of data mining, data modeling, data analysis, cost/benefit analysis, process mapping, and/or problem analysis
Develops and manages roll-out plans for mining solutions
Provide expertise and assistance in implementing model results in ongoing business processes
Clarifies and resolves complex business issues by breaking them down into meaningful components to determine root cause of defects and redesigning internal and external mining processes
Writes, speaks, and presents complex and technical details clearly and succinctly across a variety of communication settings and adjusts communication style to the audience by translating and articulating technical concepts to non-technical groups. Provides and communicates recommendations to upper management
Develop and maintain a suite of predictive analytics to drive consumer engagement company’s contact management strategies
Identifies process improvement opportunities through strategic thinking, critical thinking and analysis

Houston, TX

Senior Manager Economic Modeling

Houston, TX

Lehner, Sanford and Lang

Houston, TX

Senior Manager Economic Modeling

Provide input to Global Value Dossiers and Value Stories development and updates
Lead, manage and coach a team of economic modelers
Provide input to design and interpretation of evidence generation studies
Lead development and updates of core global cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams
Present, discuss and re-analyze model results
Fluency in English
Lead and support publications of core global and local economic models

present

Philadelphia, PA

Senior Manager, Predictive Modeling

Philadelphia, PA

Toy and Sons

present

Philadelphia, PA

Senior Manager, Predictive Modeling

present

Provide consultative services and presentations on credit scoring related issues within Retail Risk Management
Develop plans to develop and implement risk models
Build and improve the Bank’s risk rating methodologies and risk quantification methodologies and models used by the Bank to measure, monitor performance on the models to control credit risk
Liaise with business leaders in retail risk management account management to exchange ideas and ensure the effective implementation of new models
Communicate plans, timelines, progress, and results to Product Risk Analytics management team
Develop credit models to predict risk and other key dimensions of account behaviour
Develop expertise in forecasting techniques and the associated software

Education Education

Bachelor’s Degree in Economics

University of Memphis

Bachelor’s Degree in Economics

Skills Skills

Mining extensive TDC database to craft consumer profiles that inform and shape brand marketing decisions
Automating processes for monitoring, maintenance of models and periodic reports
Generating algorithms that help personalize the consumer experience for TURNER's brand properties
Productionalizing the TDC model development and scoring processes
Creating consumer audience models to drive advertising sales - Developing predictive modeling solutions to target audiences interested in TURNER programming and product adoption
Designing and implementing solutions for non-routine problems utilizing a large array of know-how areas within analytics e.g. generalized regression, decision tree, non-parametric; and machine learning, e.g., gradient boosting, random forest, neural networks, clustering, pattern recognition
Developing best practices and repeatable processes for routine problems arising in business problems business cases include driving advertising sales, targeting audiences, product adoption, consumer experience and personalization
Communicating analytical results to TDC Brand Engagement and TURNER's brands
Assisting with strategic decisions about processes, frameworks and standards

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15 Manager, Modeling resume templates

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Prediction Modeling & Scoring Manager Resume Examples & Samples

Job requires a master degree or higher in Statistics, Operations Research, or Computer Science or related field
At least five years practical experience using SAS or similar statistical coding software to build and test prediction models
Preference to previous mortgage modeling experience
Candidate must be comfortable interfacing with business clients
Demonstrate proficiency handling very large data sets
Experience with dealing with messy/missing data
Proficiency with exploratory data analysis, and experience in programming languages/techniques for data management, analysis and simulation
Finally, demonstrated ability to work as part of a team on a project from beginning to end with timely deliverables

Predictive Modeling & Scoring Manager Resume Examples & Samples

Must have strong financial modeling experience. Mortgage exposure preferred
Advanced SAS skills with at least 5 years of experience including Basic Unix commands
Prior experience in building Mortgage models
Solid background in time series and panel data modeling and practical knowledge to introduce new statistical techniques to address business challenges

Manager, Predictive Modeling Resume Examples & Samples

Develop and maintain a suite of predictive analytics to drive consumer engagement company’s contact management strategies
Develop statistical models & methodologies to predict, quantify, and/or forecast various business metrics
Ensure and maintain data quality and reliability
Provide expertise and assistance in implementing model results in ongoing business processes
Identify and recommend new data sources that will maximize analytic output and create customized reports with a team of analysts
Ensure full and clear documentation of all processes
Performs data management through a combination of data mining, data modeling, data analysis, cost/benefit analysis, process mapping, and/or problem analysis
Identifies process improvement opportunities through strategic thinking, critical thinking and analysis
Clarifies and resolves complex business issues by breaking them down into meaningful components to determine root cause of defects and redesigning internal and external mining processes
Writes, speaks, and presents complex and technical details clearly and succinctly across a variety of communication settings and adjusts communication style to the audience by translating and articulating technical concepts to non-technical groups. Provides and communicates recommendations to upper management
Demonstrates originality and imagination in thinking while developing a solution to a problem
Coordinates requests for and delivery of mining models cooperating with multiple vendors
Ensures that current business processes and constraints relating to key company systems, databases, and tools are understood
Develops and manages roll-out plans for mining solutions

Modeling / Scoring / Anaylsis Manager Resume Examples & Samples

Provide thought leadership to quantitative resources that are performing independent model validation of AML Transaction Monitoring models including Case Risk Scoring and Alert Risk Scoring models
Manage data mining analysis as well as technical code review in SAS
Measure and demonstrate conceptual soundness of modeling assumptions, mathematical logic and developer benchmarks
Performing stress testing, scenario, sensitivity, and other analysis to provide effective challenge to developers
Present model validation results with senior management
Advanced degree in a quantitative discipline (econometrics, statistics, mathematics, computer science, etc.)
Minimum 7-10 years of financial services industry experience with 1 to 3 years of DIRECT experience with AML/BSA programs and Transaction Monitoring knowledge
Computer skills: SAS, SQL
Experience with Case Risk Scoring Models
Regulatory or Compliance experience a plus
CAMS certification a plus

Modeling & Efficiencies Manager Resume Examples & Samples

Communication skills; facilitating competencies and systemic thinking
Advanced persuasive skills
Business Partner Knowledge: Knowledge of business partners (such as marketing, Finance, Operations) in their context: industry trends and competitive pressures, strategies and plans
Modelling and Statistics knowledge : Ability understand how models are made, how they are created and what information is required to ensure quality for the learning
Vendor Relationship Management: Ability to manage all aspects of vendor relationships (e.g., goal setting, governance oversight, conflict resolution and performance delivery). Includes knowledge of operational interfaces and ability to manage multiple suppliers

Manager Ifrs Modeling Resume Examples & Samples

Develop and implement models for projecting point-in-time values of PD, LGD and EAD for non-retail portfolio and Retail loan products as a functions of macro-economic variables
Collect and analyse historical data, choose appropriate model design/methodology, derive model parameters
Develop software code implementing the selected methodology to be run in the operational/production environment and generate risk parameter projections needed for calculating loan impairment charge
Partner with other IFRS 9 project teams in integrating the FLI model output to the IFRS 9 impairment estimates
Relevant experience in credit risk modeling for either retail or wholesale products
Strong computer skills in organizing and manipulating large amounts of data (Advanced MS Excel/Access, VBA, SQL, R, MATLAB or SAS)
Quantitative modeling skills (e.g., advanced statistical models, econometric models)

Senior.manager Ifrs Modeling Resume Examples & Samples

Collect and analyze historical data, choose appropriate model design/methodology, derive model parameters
Document model approaches, assumptions, model inputs used and modelling processes
3-5 years’ experience in credit risk modeling for either retail or wholesale products
Excellent knowledge in data mining, business intelligence and computer programming
Knowledge of regulations and current regulatory issues related to stress testing, capital requirements and risk management. (e.g., CCAR, Basel)
Good understanding of retail or wholesale credit products and loan loss provisioning
Excellent Communication skills (written & verbal)

Statistical Modeling Manager, Citimortgage Resume Examples & Samples

Position requires a master degree or higher in Statistics, Operations Research, or Computer Science or related field
Must have financial data and modeling experience. Mortgage exposure preferred
Advanced SAS skills with at least 5 years of data manipulation/coding experience including Basic Unix commands
Prefer to have prior experience in another coding language and/or statistical model coding in other languages such as: R, Matlab, Java, Python, or Hadoop/Big data etc
Proficiency with exploratory data analysis, manipulation of large datasets and dealing with data quality and messy/missing data
Meticulous attention to detail with a focus on quality and accuracy along with top-notch verbal and written communication skills. Validation experience as well as documentation of model controls preferred
Candidate must be comfortable interfacing / communication with business clients
Candidate should be a self-motivated, team player with the aptitude to hit the ground running and learn on the job in a fast-pace, dynamic production environment

Senior Manager, Predictive Modeling Resume Examples & Samples

Develop credit models to predict risk and other key dimensions of account behaviour
Develop expertise in forecasting techniques and the associated software
Build and improve the Bank’s risk rating methodologies and risk quantification methodologies and models used by the Bank to measure, monitor performance on the models to control credit risk
Liaise with business leaders in retail risk management account management to exchange ideas and ensure the effective implementation of new models
Maintain an awareness of industry trends and products, particularly in the area of bureau scores and bureau data
Investigate the use of new scoring technologies to increase predictive power
Provide consultative services and presentations on credit scoring related issues within Retail Risk Management
Develop plans to develop and implement risk models
Communicate plans, timelines, progress, and results to Product Risk Analytics management team
Build and maintain collaborative relationships with business partners
Evaluate external vendor models, and consult with internal partners on validity and added benefit of the project
Liaise with external partners (SAS, FICO, Equifax) to ensure that RRM has state-of-the-art tools and technology to meet our goals

Manager, D Modeling Resume Examples & Samples

Lead, delegate and oversee projects for 3D artists with the experience to plan and accomplish goals while maintaining a high design standard
Manage and art direct the work for designers, maintaining extensive interpersonal communication with CAD, engineers and developers
Responsible for Kronos time logging system
Responsible for recruitment, hiring and performance reviews
Manage freelance resourcing, training/education and new software
Manage the model shop equipment and supplies
Set clear objectives, provide ongoing performance feedback and evaluate potential
Provide training, development and mentorship to 3D modeling team

Senior Treasury Modeling Manager Resume Examples & Samples

Develops and maintains various quantitative CCAR, asset and liability management assumption, and stress test models. The model building includes, but is not limited to the acquisition of financial data (internal and/or external), design and implementation of multiple models that are linked to macroeconomic scenarios as provided by the Federal Reserve or internally developed by the bank, or that quantify the behavior of products in varying economic conditions over time
Works with the director of quantitative analysis and strategies to recommend potential model methodologies and develop models for forecasting asset balances (including commercial and residential loans and deposits), loan spreads, funding costs, non-interest income and non-interest expense based on macroeconomic scenarios
Works with the director to recommend modeling approaches for prepayment models
Document and communicate model results and methodologies to external and internal stakeholders, in clear and concise fashion, both verbally and in written form
Strong hands-on modeling experience in mortgage prepayment or credit risk
5+ years experience (for Ph.Ds) and 7+ years experience (for Masters) in complex model development in risk management, capital and/or asset liability management
Strong knowledge of financial services products (residential mortgages, commercial loans, deposits, etc.) and processes preferred
Knowledge of CCAR and stress testing requirements as well as regulations related to capital planning and risk management
Knowledge of quantitative data mining and statistical analysis techniques with minimum of five years of hands-on experience; experience pertaining to stress testing,
Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills
Good ability of conflict-solving; and ability to work collaboratively with model owner/sponsor counterparts
Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts
Strong computing development skills, particularly statistical and database modeling tools (SAS, SQL, R, MATLAB, Access/VBA etc.), ability to adapt to various programming languages and environments
Experience with time series and ARIMA modeling is preferred

BSA Modeling Manager Resume Examples & Samples

Evaluates products and services for the extent to which they pose higher exposure for use as vehicles for money laundering, human trafficking or terrorist financing and strategically determines appropriate transaction monitoring methods (i.e., manual detection processes vs. systemic detection processes)
Designs and oversees automated monitoring systems
Knowledge or experience with systems used to offer and service the Bank’s products and services to understand transaction codes for those systems and how those systems interface with the automated monitoring system
Knowledge or experience with system architecture and data ingestion controls for the monitoring system
Knowledge or experience with how transaction monitoring system functions and the various configuration parameters and threshold settings
Designs and oversees manual monitoring systems to work collaboratively with business units to develop, document and implement manual monitoring including ongoing documentation and evidence of such monitoring
Ensure effective governance practices are in place to validate system accuracy and document monitoring decisions
Manage systems support team responsible for maintaining, validating and documenting controls and processes implemented to manage the application
Responsible for analytic and performance metrics used for monitoring transaction monitoring, customer risk scoring, and OFAC
Coordinate with internal and external partners to ensure that operational and regulatory expectations are met
Master’s/Advanced Degree in Statistics, Mathematics, Economics or other quantitative analytical field
2+ years AML modeling, testing/tuning or validation experience
5+ years programming language experience (SAS, SQL, no SQL, R, etc.)
10+ years of supervisory or managerial experience
Prior knowledge and experience with complex anti-money laundering applications such as Actimize, BAE Detica NetReveal or Mantas
Prior experience managing anti-money laundering application in large or regional bank environment
Understanding of various system validation and testing methodologies

Manager Statistical Modeling Resume Examples & Samples

Masters Degree in computer science, mathematics, statistics or quantitative methods (or equivalent years experience), Advanced degree and/or Actuarial designation preferred
7+ years experience in data analysis and manipulation, predictive modeling, and statistical analysis, including at least 2 years in a lead or supervisory role
Applied modeling and analytics experience in applicable industry
Expert user of SAS, SPSS or equivalent analytic software
Thorough understanding of various statistical methodologies including linear regression, logistic regression, neural networks, and CHAID/CART
Good understanding of the regulatory environment, internal policies and procedures of perspective clients, and a keen understanding of the markets within which LNRM operates
Excellent analytical and project management skills
Excellent written and oral communication skills including Customer-facing and teleconference presentation skills
Fluency with Excel, PowerPoint and Word
Ability to influence peers, subordinates, and superiors

Senior Manager Economic Modeling Resume Examples & Samples

Lead, manage and coach a team of economic modelers
Lead development and updates of core global cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams
Provide input to Global Value Dossiers and Value Stories development and updates
Lead local economic model adaptations to address local requirements, being responsible for project management, content and execution
Provide input to design and interpretation of evidence generation studies
Interpret clinical studies results and plan additional statistical analyses needed for core models and local adaptations, including indirect treatment comparisons
Present, discuss and re-analyze model results
Report the economic section of HTA pricing and reimbursement submissions
Support timely and effective communication to HTA and reimbursement authorities
Lead and support publications of core global and local economic models
MSc or PhD in Health Economics with a background in economics or in a quantitative field (such as (bio)statistics, epidemiology or engineering)
6+ (with MSc) 3+ (with PhD) years relevant work experience in the pharmaceutical industry, consultancy, academia or reimbursement agencies
Previous experience in oncology and/or cardiovascular disease areas
Previous experience managing direct reports is preferred
Strong experience in developing core and local adaptations of cost-effectiveness and budget impact models
Strong statistical skills, in particular deep knowledge of advanced survival analyses
Strong Excel skills and experience using Visual Basic, and software such as TreeAge Pro, R, SAS, Stata or WinBUGS for model development and data analysis
Strong analytical, communication and project management skills

Manager Predictive Modeling Resume Examples & Samples

Creation of high impact statistical models and rules created based on statistical analysis
Develop and implement predictive models in a commercial credit environment
Create and enhance scorecards utilizing available bureau data and statistical analysis
Provide analytical expertise to internal and external customers using various statistical techniques and analysis

Senior Stats Modeling Manager Resume Examples & Samples

Developing new data intelligence attributes and/or incorporating new data sources required to fulfill marketing campaigns or analytic insights
Maintaining analytic data environment, QA/QC data updates and documenting changes via the change control process
Supporting analytics projects and providing development support for marketing list execution
10-15 years of experience in Analytics/Database Marketing
10-15 years of experience within Financial Services
10-15 years of experience in SAS programming
Bachelor's Degree in Math/Science required, Master's Degree in Statistics/Mathematics/Applied Math preferred
Strong communication skills: ability to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partners
Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, etc.)
Familiarity with statistical concepts and procedures, including: generalized linear models, machine learning algorithms, experimental design, stochastic processes, markov process modeling, response surface methodology, and statistical graphics
Ability to lead a team of business analysts and effectively interpret statistical results to drive business innovation and new business strategies

Manager, Modeling & Conceptualization Resume Examples & Samples

Manages Test and Control models, including reporting, results analysis, and diagnostics
Performs complex analysis manipulating large data sets to create thoughtful, robust business recommendations
Fosters teamwork and works well in a collaborative team environment

Manager Ppnr Modeling Resume Examples & Samples

Developing quantitative models of the Bank’s revenues and expenses
Analyzing macro-economic data using unsupervised machine learning and other modelling techniques
Building mappings between macro-economic data and the Bank’s finance data
Working closely with various counterparties to develop statistically and economically sound models
Leading the ongoing enhancements of the existing models to improve the models’ explanatory power
Conducting research on the industry best practice in different countries for the revenue models
Ensuring appropriate documentation at different levels for key audiences such as Senior Management, Regulators, Model Validation and Approval, Audit, Business Lines and the EST group
Analyzing data obtained from the various Bank data systems
Developing and improving models and methodologies with a thorough understanding of the Bank’s financial statements such as balance sheet and income statement
Background in a quantitative discipline such as mathematics, statistics, computer science, engineering or equivalent
Programming experience with numerically oriented languages such as Python, C++, MATLAB, R, SAS or related languages
Strong experience and knowledge of statistical modeling such as machine learning
Good knowledge of financial statements and economics

SVP Manager Ccar Modeling Resume Examples & Samples

Oversee development and documentation of loss forecasting models used for CCAR and IFRS-9
Support Model Owners in the model submission and review process
Oversee the implementation of all international secured models
Oversee the production process for all international secured models
Partner with the Head of Modeling in India for International Secured Portfolios to create and maintain: project list; development schedule; implementation schedule; production schedule and monitoring schedule
Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, or other highly quantitative discipline
10+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses (e.g., CCAR/DFAST)
5+ years’ experience managing model a development team with 5+ reports
Experience with mortgage/home equity modeling, with international experience a strong plus
Exposure to various loan level loss forecasting modeling approaches preferred
Exposure to project management of model development initiatives and the delivery of technical presentations to internal model review functions and/or external regulators and internal audit functions

Senior Manager, Modeling Resume Examples & Samples

4-year degree from an accredited university or industry experience equivalent required
6+ years of relevant professional experience in Predictive Modeling and Database Marketing related work
Able to work independently, understanding the financial and ethical repercussions in the proper stewardship and care of customer data. Must possess ability to identify and understand underlying issues; able to solve complex problems, and identify opportunities, using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints, and probable consequences
Excellent analytical skills; proven track record in modeling and application of results to marketing environment. Understanding of how data is used to obtain results that tie to driving revenue, cutting costs, or solving business problems
Strong knowledge of campaign management, CRM, lead management systems and tools
Strong experience with using SQL for use in the development of business solutions
Comprehensive understanding of database systems and campaign management applications including IBM/Unica, Adobe, data input, programs, reports, capability, etc
Understands strength of teamwork and works well in a team environment. Able to meet deadlines without fail. Able to coordinate activities in a high-pressure environment. Must display good business judgment; make sound business decisions. Must understand importance of attention to detail; is able to work at very granular level when necessary
Oversee all usage and management of Starwood data used for Vistana Marketing models. Assists with universe management and recommends best use of leads for Vistana campaigns. Manages 3rd party data appends used for modeling efforts. Assists with data hygiene efforts such as NCOA, demographic append and data hygiene. Manage relationship with 3rd party data vendors used for modeling support and services. Implements and manages all model scores used for campaigns in Unica; is specialist in Unica Campaign software. Assures Vistana package sales/revenue targets are achieved or exceeded. Works well independently and within a team environment
Collaborates with Vistana team leaders to develop predictive models that optimize campaign efficiencies utilizing prospect and customer data as well as constraints of market management and legal regulations. Conduct periodic tests utilizing statistically viable methods. Campaign analysis and reporting. Ensures effective market management planning of available universes
Partner with marketing leadership to proactively identify and execute on opportunities to drive advanced analytics into their campaign decision making. Works closely with other leaders to ensure CRM initiatives are executed and are congruent with marketing/departmental needs
Assists in providing analytical support and services for effective lead management (both online and offline) as it pertains to web data and forms and transference of lead data to a database. Attend monthly/quarterly planning sessions with Vistana and internal leaders; prepare appropriate sections of presentations as necessary
Performs data analysis or site data requests as needed (customer and prospect profiles, past guest history, SPG data, demographics, etc.)
Ensures the work is organized so it can be effectively completed
Continuously improves work processes
Brings together the appropriate mix of associate knowledge and skills to complete work
Coaches others on scope of technical decision‐making authority
Uses meetings and other forums to regularly communicate status of work
Models and coaches others on staying calm and focused during stressful situations
Communicates to others why change is happening and how it impacts their work
Models flexibility when managing multiple demands and changing priorities
Provides resources that help others deal with change and challenges
Adjusts team and own priorities when experiencing change or challenges
Determines how change impacts stakeholders and communicates concerns to leadership

Catastrophe Modeling Manager Resume Examples & Samples

Develop and enhance catastrophe pricing strategies; provide support for catastrophe loads within Property and Specialty pricing programs
Assess performance of individual peril loads over time relative to expectations. Understand and mitigate the impact of large events on USCM’s portfolio
Evaluate effectiveness of current reinsurance treaties in achieving SBU goals and recommend options for future purchases
Communicate areas of concern regarding catastrophe concentration that need to be addressed globally or within individual state markets. Create cross-functional alignment on solutions and partner with stakeholders to implement
Maintain up to date knowledge of the latest trends in CAT models and pricing. Ensure that these trends are properly reflected in pricing and underwriting methodologies
Select, manage and develop individual contributor talent
Insurance designations desirable. Fellowship in the Casualty Actuarial Society (FCAS) designation required, or comparable actuarial education/designation combined with relevant experience
Typically 0-2 years post-fellowship. (Overall) 5-7 years of progressively more responsible experience, including supervisory experience
Strong analytical skills with solid understanding of all casualty actuarial techniques, standards, and assumptions
Strong knowledge of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal, and Sales departments
Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing
Ability to establish and build effective relationships within and outside the organization
Ability to give effective training and presentations to senior management and other groups
Prior exposure management experience a plus
Management role: Ability to lead and get work done through others. Ability to coach and develop staff members

Forecast Modeling Manager Resume Examples & Samples

Supervise the following activities
Master’s Degree Statistics, Economics, Math, Computer Science, Data Science or related technical field
3+ years of experiences in hands-on mathematical modeling
1+ years of modeling methodologies, including economics, econometrics, statistics, and/or data mining
3+ years of Auto industry related work
Prior experience in supervisory role highly preferred
Auto marketing and sales experiences
Familiar with various modeling methodologies, including economics, econometrics, statistics, data mining
Significant experience with SAS, utilizing large datasets; Familiarity with R, and Python highly preferred
Experience with Excel and PowerPoint
Fast learning and ability to be hands on and curious
Communication skills, including ability to synthesize and explain complex concepts
Ability to build strong relationships with business partners