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Corporate - Model Risk Governance & Review - Model Review Group - Securitized Products Group - VP

Req #: 170107954
Location: New York, NY, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 5000 US Dollar (USD)
 
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 Model Review Group (MRG) is responsible for conducting model validation firm-wide to help identify, measure, and mitigate Model Risk.  MRG works closely with Risk, Finance and LOB professionals to communicate review findings and support ongoing model risk measurement and mitigation.
MRG is currently seeking an VP level individual to review models related to Mortgage-Backed Securities (MBS), Mortgage Servicing Rights (MSRs), and other mortgage-related assets.
 
 
Responsibilities:
 
Complete high quality reviews of mortgage-related models used for valuation, risk, VaR, and stress  
 
Maintain effective challenge, critical thinking, independence, consistency, and strong compliance to policy and procedures in model review activities
 
Interact with and communicate findings to colleagues both within and beyond MRG (including developers, front office, market risk, and audit)
 
Support regulatory interactions 
 
Recruit, develop, and manage junior resources
Advanced degree in Economics, Statistics, Mathematics, or a related quantitative discipline
 
3+ years of experience in quantitative research, preferably within financial services
 
Solid knowledge of, and experience with, MBS from a development or validation perspective
 
Excellent understanding of the mathematical, statistical and numerical methods used in quantitative finance
Thorough knowledge of both a general purpose language (e.g., Python) and a statistical language (e.g., R)
 
Excellent written and oral communication skills
 
Demonstrated ability to work both independently and collaboratively
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