Posted by
Posted in
Banking & Finance
Job Code
1691003

Are you ready to lead from the front in a high-impact quantitative risk role ?
We are looking for a seasoned professional to drive model validation initiatives across pricing and counterparty credit risk models within a global banking environment.
This is a hands-on leadership role with responsibility for both technical delivery and team management.
Key Responsibilities:
Independently validate derivative pricing models (Interest Rates, Credit, Equities, FX) and/or counterparty credit risk models (XVA, PFE/EPE, CVA, IMM)
Perform end-to-end model validation, including:
- Methodology review
- Model assumptions & limitations
- Calibration techniques
- Implementation logic & numerical robustness
Design and execute independent validation tests:
- Sensitivity analysis
- Stress testing
- Backtesting
- Benchmarking vs alternative models / market practices
- Ensure compliance with model risk management frameworks and regulatory expectations
- Collaborate with Front Office, Risk, Model Development, and Technology teams to challenge and enhance models while maintaining independence
- Prepare validation reports for senior management, auditors, and regulators
- Support regulatory reviews and examinations
Oversee model lifecycle governance:
- Inventory & classification
- Periodic reviews
- Performance monitoring
- Issue tracking & remediation
- Lead and mentor a team (2-3 quants) ensuring quality and timely delivery
- Work closely with global stakeholders across regions
Candidate Profile:
6-10 years of experience in:
- Model Validation
- Quantitative Model Development
- Front Office Quant roles (Banking / Financial Institutions)
Strong expertise in:
- Derivative pricing models and/or
- Counterparty credit risk models
- Solid foundation in quantitative finance & advanced mathematics (including stochastic calculus)
Hands-on experience in:
- Model methodologies & calibration
- Model validation techniques
- Challenging model design and outputs
Familiarity with regulatory frameworks such as:
- SR 11-7
- OCC 2011-12
- Basel guidelines
Proficiency in at least one programming language:
- Python / C++ / MATLAB / R
- Strong communication skills with experience engaging senior stakeholders
- Prior experience in leading validation projects or mentoring teams
Education:
Master's or PhD in:
- Quantitative Finance
- Mathematics / Statistics
- Physics / Engineering
- Or related quantitative discipline
Why This Role?
- High visibility role with global exposure
- Opportunity to work across multiple asset classes
- Blend of hands-on quant work + leadership responsibility
- Strong career growth in a critical risk function
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Posted by
Posted in
Banking & Finance
Job Code
1691003