VP – Model Risk Validation

VP – Model Risk Validation

Closing on: Dec 12, 2025
Job Function: Back & Middle Office - Banking & Finance
Job Category: Risk Management
Job Type: Full Time
Job Location: Mumbai

Our client is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services.

They are hiring for VP – Model Risk Validation and Governance role for Mumbai location with expertise in governance and validation of PPNR, RWA, Scenario Design, CCAR and similar regulatory models. Looking for existing VPs with similar experiences along with strong people management skills.

Key Responsibilities:

  • Conduct independent review and validation of models and tools in line with internal policies, regulatory requirements, and industry best practices.
  • Evaluate conceptual soundness, methodology robustness, data quality, model limitations, and performance monitoring frameworks.
  • Take ownership and ensure end-to-end delivery of assigned model validation projects, ensuring timely and high-quality outcomes.
  • Document and present model validation findings clearly and comprehensively for both internal and external stakeholders.
  • Lead, mentor, and develop a team of quantitative professionals; oversee hiring, training, and performance management.
  • Collaborate cross-functionally with Model Development, Risk, and Regulatory teams to strengthen model governance.

Required Qualifications & Experience:

  • Engineering in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science, etc.
  • 12+ years of relevant experience in model validation, model development, or other quantitative roles within financial institutions.
  • Minimum 5 years of people management experience, with proven ability to lead and develop teams.
  • Strong programming skills in Python
  • Hands-on experience with PPNR, RWA, Scenario Design, and CCAR model validation and governance.
  • Deep understanding of regulatory frameworks and model risk management practices.

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

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