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CCB - Risk-Core Modeling-Decision Insights- Business Banking-VP

Req #: 170067967
Location: Lewisville, TX, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:
 
JPMorgan 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 http://www.jpmorganchase.com/.
 
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 CCB Business Banking Risk Core Modeling Vice President will be responsible for end-to-end management and preparation of complex relational data and ad-hoc analytic projects to drive innovation. The role is a mix of data preparation, ad-hoc analytics, model development, and data analysis. 
 
In this highly visible role, the successful candidate will be able to think like an analytic leader with overall business picture in mind and develop & communicate the business analytics and model statistics/insights to senior management. Preferred to have strong analytical capability with creative thinking, hands-on skills (be able to pull your own data, write SAS code and be independent) and project management skills
 
Responsibilities:
  • Work with a team of decision science professionals to develop best-in-class core risk and profitability models and decision support tools for all aspects of credit risk decision points across life-cycle of CCB customers.  
  • Ensure that all risk models are in compliance with regulatory requirements and the Firmwide model risk policy
  • Provide insights derived from the models and modeling exercise to support business strategies
  • MS or Ph.D. degree in Economics/Econometrics, Applied Economics, Statistics, Decision Science, Mathematics, or related field. Ph.D. is preferred
  • A minimum of 7 years of relevant analytics/modeling experience. Experience working in statistical modeling, Risk Management or Business Insights team in financial firm/credit card industry is preferred
  • High degree of creativity with strong analytical, interpretive and problem solving skills, which will require the ability to synthesize / analyze diverse information and develop strategy recommendations from observed outcomes.
  • Strong written and oral communication skills to clearly present analytical findings and influence across all levels of the organization
  • Experience with analytic techniques and tools applied to customer and risk valuation, marketing ROI, design of experiment, and segmentation
  • Experience in partnering and collaborating across different functions and capability to handle multiple tasks in a fast paced environment.
  • Proficiency with SAS and SQL for modeling, familiarity with Microsoft office for document and presentation writing.
 
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