Lead - Model Validation - Pricing/Counterparty Credit Risk - Financial Services

About the Role:

We are hiring an experienced Lead Model Validation to join a high-performing Model Risk Management team. This is an excellent opportunity for quantitative finance professionals with expertise in pricing models and/or counterparty credit risk models to work on complex validation assignments while leading a team of model validators.

Key Responsibilities:

- Independently validate derivative pricing models (Interest Rates, Credit, Equities, FX) and/or Counterparty Credit Risk models (XVA, PFE/EPE, CVA, IMM components).

- Perform end-to-end model validation, including methodology review, assumptions, calibration techniques, implementation logic, and numerical testing.

- Design and execute benchmarking, sensitivity analysis, stress testing, and back-testing.

- Review model governance and ensure compliance with internal model risk frameworks and regulatory expectations.

- Collaborate with Model Development, Front Office, Risk, and Technology teams while maintaining independent validation standards.

- Prepare validation reports and present findings to senior stakeholders.

- Monitor model performance, conduct periodic reviews, and assess material model changes.

- Lead and mentor a team of model validators, ensuring quality and timely delivery.

Desired Profile:

- 7-14 years of experience in Model Validation, Model Development, or Front Office Quantitative Analytics within Banking or Financial Services.

- Strong knowledge of derivative pricing models and/or Counterparty Credit Risk models.

- Solid understanding of quantitative finance, stochastic calculus, and financial mathematics.

- Hands-on experience with model methodologies, calibration techniques, and validation frameworks.

- Familiarity with regulatory guidelines such as SR 11-7, OCC 2011-12, and Basel standards.

- Proficiency in Python, C++, MATLAB, R, or similar quantitative programming languages.

- Excellent analytical, communication, and stakeholder management skills.

- Prior experience leading teams or mentoring junior model validators is preferred.

- Master's or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline.