Assistant Manager/Manager/Senior Manager - Model Validation - Market Risk Models

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":48,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Description: We are hiring for a leading Investment bank based at Mumbai. Experience: 4 - 9 yrs in Model Development/Model Validation for financial Services with good Python programming skills. Education: Masters / MBA; in Economics, Mathematics, Statistics, Finance, Computer science From Tier 1 with good knowledge in Equity pricing models. Responsibilities: - Conduct independent validation of market risk models across major asset classes including Interest Rates, Foreign Exchange, Inflation, Equities, Commodities, Credit, and Mortgages, covering methodologies such as VaR, RNIV, IRC/CRM, FRTB, Stress Testing, and CCAR. - Assess model conceptual soundness and regulatory compliance through comprehensive review of model assumptions, methodology, mathematical framework, empirical evidence, data quality, implementation, limitations, and intended use. - Design and execute independent challenger analyses and testing, including benchmarking, sensitivity analysis, stress testing, back-testing, outcome analysis, and quantitative assessments to identify, measure, and articulate model risks. - Evaluate model governance and controls in alignment with the Bank's Model Risk Management framework and regulatory expectations, including SR 11-7 and SR 26-2 guidance. - Prepare high-quality validation reports and technical documentation that clearly communicate validation findings, model limitations, risk assessments, recommendations, and approval decisions to senior stakeholders and governance committees. - Partner with key stakeholders across Front Office, Global Risk Analytics (GRA), Market Risk, Finance/PVG, Audit, and other control functions to provide effective challenge, discuss validation outcomes, and establish appropriate compensating controls and remediation plans. - Good Knowledge in Python.