JPMorgan Chase Corporate - Model Risk Governance & Review - Model Governance Group - Ongoing Performance Assessment (OPA) Quantitative Research - ED in New York, New York
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/ .
The Ongoing Performance Assessment (OPA) group focuses on assessing performance of complex quantitative models used throughout the firm, including complex pricing models, risk models, and empirical models used in major lines of business, including Investment Bank. Team members have opportunities for exposure to a variety of business areas and projects.
Quantify ongoing model performance: metrics, criteria, tests, methodologies, etc
Develop, maintain, and enhance quantitative code in Python
Perform in-depth, heavy-duty empirical data analysis
Identify potential model weakness used across the firm
Ongoing tracking of model performance systematically
Desirable skills, experience, and qualifications:
Excellence in knowledge of high-level programming language (Python or C/C++ or Java)
Experience in database or big data preferred
Excellence in probability theory, stochastic processes, statistics, econometrics, and numerical analysis
Very strong analytical and problem solving abilities
PhD or MS in Math, Finance, Econometrics, Physics, Engineering, or Statistics.
Good communication skills
Experience in derivative pricing models preferred
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.