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VP Economic Risk and Residual Management

GM Financial

This is a Full-time position in Fort Worth, TX posted February 13, 2021.

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nVP Economic Risk and Residual Managementn Job Locations US-TX-Fort Worth Requisition ID 2021-38459 Employee Type Full Time-Regular Category Risk nOverviewn nnThe VP is responsible for leading and managing the design, development, deployment and maintenance of data driven econometric models and reports.

Additionally, the VP applies leadership and direction along with advanced quantitative skills to guide research activities in the production of research and analysis to quantify the impact of economic, legal and industry factors that affect asset performance.

This research support strategic planning, as well as the specific needs of Pricing, Accounting, Investor Relations, Structured Finance, Dealer Services and Credit Risk Management.

This position focuses on presenting results from econometric models and stress tests to senior leadership to make asset risk decisions.

Additionally the VP is responsible for quantifying and summarizing trends to senior leadership that impact the portfolio and provide actionable insight for the Organization.nn nResponsibilitiesn nn JOB DUTIES nn Responsible for leading a quantitative team focused on the development and implementation of asset valuation modeling as well as reporting for internal clients and external clients As leader of the department, the VP must provide effective organizational management and leadership Provide oversight of modeling processes and resource allocation Development and implementation of procedures to ensure the department provides a high level of professionalism and service Design, development and implementation of data analysis, models and econometric methods, Coaching, mentoring and training direct reports to establish a consistent level of quality, accuracy, accountability and compliance to standards Manage the recruitment, selection and development of personnel Leading by example by being an industry thought leader Maintain expert level knowledge of asset prices, market dynamics and technical knowledge to support research and analytic responsibilities Provide guidance in the application of quantitative principles, knowledge of third party data sources, creative econometric expertise in developing new models, and insights to upper management on the state of the market Ensure that the delivered products from the department meet the business needs of the Company Effectively communicate asset risk and implications to senior leadership Perform other duties as assigned Conform with all company policies and procedures nQualificationsn nn Knowledge nn Strong quantitative, analytical and data interpretation skills Ability to identify and understand business issues and map these issues into quantitative questions Efficient modeling skills with very large datasets Proficiency in econometric or statistical experimental design, ability to design and implement model documentation and monitoring protocols, demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques Advanced knowledge of principles, standards, practices and techniques relating to econometric modeling for a financial firm Advanced knowledge of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, non-parametric techniques, principal components and linear programming techniques A solid understanding of used vehicle markets ad advanced skills in SAS, JMP, Excel, Word and PowerPoint nn Skills nn Effective written and verbal presentation skills with an ability to communicate well with senior management Ability to interact collaboratively with internal customers and external vendors Demonstrated quantitative skills and ability to apply complex econometric principles nn Additional Knowledge Skills and Abilities nn Extensive experience presenting highly complex analysis to upper management is required nn Education nn Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field or equivalent experience required nn Experience nn Greater than 10 years of experience in modeling required 5-7 y

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