Manager/Senior Manager - Model Validation - Market Risk

About the Role:

We are looking for talented Market Risk Model Validation professionals to join a leading global banking organization. If you have a strong quantitative background and experience in validating market risk models, this is an excellent opportunity to work on complex model risk challenges in a global environment.

Key Responsibilities:

- Independently validate Market Risk models including VaR, Stressed VaR, Expected Shortfall (ES), Incremental Risk Charge (IRC), Scenario/Stress Testing, and FRTB (SA & IMA) models.

- Perform end-to-end model validation, including review of methodologies, assumptions, calibration techniques, implementation logic, risk factor mapping, and numerical testing.

- Design and execute independent benchmarking, sensitivity analysis, stress testing, and P&L backtesting.

- Assess model compliance with internal model risk governance frameworks and regulatory requirements.

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

- Prepare validation reports and communicate findings to senior stakeholders.

- Support ongoing model monitoring, annual reviews, issue tracking, and assessment of model changes.

- Work closely with global teams on model validation initiatives.

Desired Profile:

- 1-6 years of experience in Market Risk Model Validation, Model Development, Market Risk Analytics, or Front Office Quantitative roles within Banking or Financial Services.

- Strong understanding of VaR, Expected Shortfall (ES), Market Risk methodologies, P&L Attribution, Backtesting, and Risk Factor Modelling.

- Exposure to FRTB (SA and/or IMA) and Basel Market Risk standards is highly preferred.

- Knowledge of derivative pricing across one or more asset classes (Rates, Credit, Equities, FX, Commodities).

- Strong foundation in Quantitative Finance, Probability, Statistics, and Stochastic Calculus.

- Familiarity with model risk governance frameworks such as SR 11-7, OCC 2011-12, and Basel guidelines.

- Hands-on programming experience in Python, C++, or R.

- Excellent analytical, communication, and stakeholder management skills.

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

Location: Bengaluru