Join Deloitte as an Associate Director in Market Risk, leading critical regulatory and financial risk initiatives in Mumbai. This role offers a unique opportunity to influence risk management strategies within a dynamic financial landscape. You will be instrumental in providing independent reviews and validations, ensuring compliance with stringent policies and industry best practices.

This position is ideal for seasoned professionals with extensive experience in quantitative finance and risk modeling. You will engage with senior stakeholders, regulatory bodies, and internal teams, driving high-quality deliverables and fostering a culture of continuous improvement. Embrace a role that challenges your expertise and expands your impact in the financial risk domain.

Conduct independent reviews and validations of client models, adhering to MRM policies, regulatory guidance, and industry best practices. This includes evaluating conceptual soundness, assumption reasonableness, input reliability, implementation testing, and scenario analysis.

Develop comprehensive validation documents, detailing testing analysis, conclusions, findings, and model outcomes suitable for internal and external presentations to regulators. Effectively communicate findings and engage in constructive debates on methodologies with senior management.

Represent the MRM team in interactions with regulatory and audit agencies. Stay abreast of financial market trends, business developments, and evolving regulatory guidelines (e.g., Basel, FRTB, IRRBB, SR 11/7) to enhance validation quality and risk management outputs.

Engage in model audits, validation, and development activities, acquiring new skills as needed. Clearly articulate complex financial modeling and valuation concepts to diverse audiences, including expert client teams.

Oversee the model lifecycle, encompassing development and validation to ensure robust design, accurate performance assessment, and adherence to risk management frameworks and regulatory standards. Mentor junior professionals, review their work, and develop training materials on financial concepts and regulations.

A minimum of 10-15 years of relevant experience in model validation and development is essential. A strong understanding of Basel III/IV, Market Risk concepts, and metrics such as VaR, Risk Sensitivities, FRTB, and IRRBB is required.

Proficiency in Basel, SAS, regulatory reporting, and system implementation is crucial. Experience with Valuation and Independent Price Verification is expected, alongside knowledge of regulatory banking risk management guidelines and practices.

Familiarity with market risk infrastructure, SQL, R, Python, and VBA is necessary. A background in mathematical finance is highly valued, with a Master's degree in Financial Engineering or Quantitative Finance. An advanced degree like a PhD is a plus.

Candidates with a strong academic record but without a Master's degree may be considered, provided they hold a Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or Engineering. Professional certifications like CQF, CFA, or FRM, or progress towards them, are preferred.

Experience in a Quant role within validation or development of models in financial institutions or consulting firms is required. Expertise in Market Risk, Liquidity Risk, Counterparty Credit Risk, Capital Risk, Credit Risk, Finance & Treasury, Financial Crime, or Data Science models is essential. A background in derivative finance with a basic understanding of stochastic calculus and numerical techniques for derivatives pricing is also needed.