Join our dynamic team as a Manager in Model Validation Quant for Counterparty Credit Risk (CCR), based in Hyderabad. This role is crucial within the Regulatory & Financial Risk domain, supporting the development and validation of sophisticated market and credit risk models.

You'll be instrumental in ensuring the robustness of our quantitative frameworks, contributing to Deloitte's advisory services that help entities navigate complex risks and capitalize on opportunities. This position offers a unique opportunity to work with cutting-edge financial modeling techniques in a leading professional services environment.

Conduct independent reviews and validation of Market Risk models, including FRTB (IMA & SA), Basel 2.5, VaR, Expected Shortfall, and Sensitivities.

Assess Counterparty Credit Risk (CCR) models, covering IMM, internal exposure models (EPE, EE, PFE), XVA models, and Margin models (DIM, SIMM).

Validate Stress Testing models such as CCAR, DFAST, and ICAAP, evaluating model inputs, outputs, assumptions, and conceptual soundness.

Perform performance testing, benchmarking, sensitivity analysis, and back-testing. Review model implementation to identify and remediate potential model risks, preparing comprehensive reports aligned with regulatory standards (e.g., SR 11-7, ECB, PRA).

A Master's degree in quantitative finance, Financial Mathematics, Statistics, Economics, Engineering, or an MBA is required, along with 5-8 years of relevant experience.

Candidates should possess 2-7 years of hands-on experience in Market Risk models (VaR, RNIV, IRC, SA-CVA, FRTB) or Stress testing and Capital models (CCAR, DFAST, ICAAP).

Strong knowledge of CCR models (SACCR, XVA, Risk factor simulation, margin/exposure models) is essential. A solid understanding of Market and CCR metrics, stochastic calculus, probability theory, numerical methods, statistical techniques, and derivatives across various asset classes is expected.