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CCB - Risk- Auto Finance- Loss Forecasting Analytics-Vice President

Req #: 180000239
Location: Plano, TX, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 5000 US Dollar (USD)

CCB- Risk-Auto Finance Credit Forecasting  & Model Analytics Vice President 


Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at


Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. 


Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others


The credit forecasting function is responsible for reporting and forecasting credit losses, balances, margin and capital.  The function uses multiple models for predicting the future performance of the credit portfolio for budgeting, allowances, CCAR and ICAAP purposes. Separately, the portfolio analysis function is responsible for day to day monitoring of the credit portfolio, identifying emerging trends, conducting deep dive analysis when needed and providing explanation of trends to senior management.


The incumbent will lead a team of highly skilled analysts to perform both the Model Analytics and Portfolio Analysis functions and will report directly into the Consumer  Card and Auto Head of Loss Forecasting within CCB. This is a highly visible role which must interact closely with model developers, model validation, model implementation and credit executives. For the Model Analytics function, the role is primarily focused on user testing and outcome analysis for all the models and assumptions used in the credit forecasting processes. The Lead will be responsible for evaluating model health as well (i.e., backtesting, benchmarking), challenging models and assumptions. For the Portfolio Analysis function, the role is primarily focused on leading day to day monitoring of portfolio, conducting portfolio deep dives, identifying emerging trends and updating senior management on a frequent basis. 



The primary purpose is to lead the Model Analytics and Portfolio Analysis functions supporting the auto finance business within CCB.   


Key responsibilities include:

  • Develop deep subject matter expertise into all the models used in auto finance supporting the credit forecasting processes (Budget, Allowances, ICAAP and CCAR)

  • Test, validate and perform outcome analysis to challenge existing and new models and assumptions.

  • Identify model issues and limitations and explain findings to the CRO and CFO for Auto

  • Provide thought leadership to complex business problems by guiding and challenging the modeling apparatus or status quo.
  • Partner closely with model development, and the implementation teams.
  • Adopt and implement best practices and standards for model development, testing, and validation.
  • Conduct day to day monitoring of the Wholesale portfolios, conduct deep dive analysis and identify emerging trends 
  • Create documentation and presentations and communicate results to senior managers
  • 10+ years of experience working in risk modeling, model validation, or advanced risk analytics. Preference will be given to candidates with prior experience in model development or model validation
  • Masters or Ph.D. in quantitative fields (economics, sciences, statistics, engineering,  etc.)
  • Ability to leverage large complex data and models to synthetize and summarize findings and guide business actions
  • Strong programming skills in SAS, SQL and/or Python
  • Strong analytical/problem solving skills and attention to detail
  • Self-motivated and pro-active with proven ability to work accurately and under pressure to meet deadlines
  • Ability to work well under pressure by staying focused
  • Ability to summarize and explain clearly large and complex information to a wide range of audiences (senior managers, audit, controller, finance, model developers, regulators and controls)
  • Very strong communication skills as this role requires close interaction with senior leaders across the firm
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