JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 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
Duties: Serve as part of the team that will perform independent benchmarking of key portfolios for firm-wide capital stress testing and related processes. Develop an understanding of the drivers of the behavior of balances/fees/losses of different products and businesses using a combination of research and liaising with business lines. Develop models using mathematical approaches (including but not limited to time series analysis and regression approaches) that make business sense and satisfy statistical feasibility criteria. Manage steps of the model review process including documentation preparation, meetings with model review groups, model enhancements and remediating issues identified. Manage model inventory consistent with firm wide policy. Perform periodic model updates to include the latest historical data and model inputs; ensure conformance with ongoing performance assessment criteria. Report and present plans, status and findings to various stakeholders (Model review and governance, business units, audit and regulators) and leadership. Stay abreast of macroeconomic, regulatory and industry landscape and bring this to bear in benchmarking analysis and process changes. Identify innovation opportunities to enhance model effectiveness and efficiency.
Minimum education experience required: Master’s degree or equivalent in Finance, Engineering, Financial Mathematics, or related field plus two (2) years of experience in Programming, Financial Modeling, Quantitative Modeling, or related experience OR a Bachelor’s degree or equivalent in Finance, Engineering, Financial Mathematics, or related field plus five (5) years of experience in Programming, Financial Modeling, Quantitative Modeling, or related experience.
*Skills required: Experience with regression and ARMA modeling. Experience with statistical and econometric software, including R, SAS, and Eviews programming. Demonstrated knowledge of Excel, VBA, SQL and PowerPoint. Knowledge of financial products and markets. Knowledge of risk and regulatory requirements. Demonstrated ability to discuss regulatory models with business stakeholders. Employer will accept any amount of professional experience with the required skills.
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