Vice President - Quant Model Risk

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":84,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Job Responsibilities: - Carry out model reviews by analyzing the conceptual soundness of complex pricing models, engines, and reserve methodologies. - Assess model behavior and the suitability of pricing models and engines for specific products/structures. - Provide guidance on model usage and act as the first point of contact for the business on new models and changes to existing models. - Develop and implement alternative model benchmarks, compare outcomes across models, and design model performance metrics. - Evaluate model performance on a regular basis. - Liaise with model developers, Front Office, Risk and Valuation Control Groups to provide guidance on model risk. - Manage, develop, train, and mentor junior members of the team. Required Qualifications, Capabilities, and Skills: - 7+ years of experience in a quantitative finance environment (e.g., Front Office quantitative research, model validation, strats, hedge funds), with exposure to derivatives pricing. - Strong conceptual and mathematical knowledge of derivatives pricing, simulation techniques, probability theory, stochastic processes, partial differential equations, statistics and numerical analysis. - Practical knowledge of derivatives, their risk drivers, and quantitative models used for pricing and hedging derivatives. - Exposure to at least one of the following asset classes: interest rates, FX, equity, credit, or commodities, preferably from a model validation or FO perspective. - MSc, PhD, or equivalent qualification in a quantitative discipline such as Mathematics, Quantitative Finance, Statistics, Engineering, Physics, or a related field. - Inquisitive mindset, with the ability to ask the right questions, challenge assumptions, and escalate issues appropriately. - Excellent written and verbal communication skills. - Strong coding skills, for example in C/C++ or Python.