JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and 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 www.jpmorganchase.com
Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate the impact of risk events that do occur.
The CCB-Mortgage Risk Core Modeling Vice President will be responsible for end-to-end management of complex model development and ad-hoc analytic projects. The role is a mix of project management, internal advisory, 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
- 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 mortgage 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
Ø MS or PhD degree in Statistics, Economics/Econometrics, Applied Economics, Decision Science, Operations Research, Mathematics (or equivalent quantitative field)
Ø A minimum of 7 years of relevant analytics/modeling experience. Experience in statistical modeling, risk management and Business Insights in financial firm/credit card industry is preferred
Ø Strong analytical, interpretive and problem solving skills, which will require the ability to synthesize / analyze diverse information and develop strategy recommendations from observed outcomes.
Ø Experience in advanced analytic techniques applied to customer and risk valuation, marketing ROI, design of experiment, and segmentation
Ø Written and oral communication skills to clearly present analytical findings and influence across all levels of the organization
Ø Proficient in the following applications: Microsoft Word, Excel, and PowerPoint, SAS and SQL with experience in UNIX and relational database knowledge