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VP Model Risk Management - Securitized Products

Selby Jennings Manhattan, United States
Posted 10 days ago Hybrid Job Permanent USD170000 - USD200000 per year

VP Model Risk Management - Securitized Products

Selby Jennings Manhattan, United States
A leading global investment bank is looking to hire a VP-level Model Risk professional to its growing model risk management team.

A leading global investment bank is looking to hire a VP-level Model Risk professional to its growing model risk management team. This individual will focus on the independent validation and oversight of models supporting securitized products businesses, working closely with quantitative teams, risk management, and senior stakeholders.

This is a highly visible opportunity for someone with strong quantitative and mortgage modeling experience who wants to have a direct impact on model governance, risk oversight, and decision-making across a complex trading environment.

The ideal candidate will have 3+ years in model risk or related function, analyzing or validating models supporting the securitized products business.

Responsibilities:

  • Independently validate agency securitized products models, assessing methodology, assumptions, performance, and model limitations.
  • Analyze and quantify model risk, including sensitivity testing, calibration reviews, and ongoing performance monitoring.
  • Present validation findings and risk assessments to senior management, governance committees, and key business stakeholders.

Qualifications:

  • 3+ years of experience in Model Risk, Model Validation or a Quantitative role within a financial institution.
  • Strong knowledge of mortgage-backed securities, prepayment models, credit models, and the mortgage market.
  • Advanced quantitative skills with experience using Python, R, or SQL.
job_description_image
Job ID  PR/614479
ABOUT COMPANY
New York, United States
1000 Employees HR & Recruitment
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business. Whether that be Quantitative Analyti...
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