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Tier-1 bank and Mumbai increase applicant volume, but niche GenAI validation and seniority limit competition.
Requires financial model risk validation and Generative AI expertise, limiting cross-industry transferability.
Explicit 8+ years requirement, minimum AI/ML experience, advanced degree, and regulated bank environment.
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Independently review and challenge the lifecycle of AI/ML non-model objects, including Generative AI and Agentic AI Use Cases, ensuring compliance with policies and managing associated risks.
Engage with key stakeholders such as AI/ML sponsors, governance, audit, and regulators to manage AI/ML model risk and support regulatory exam requirements.
Develop, enhance, and validate risk measurement methodologies covering market, credit, and operational risks; contribute to strategic initiatives in model risk management.
Advanced degree (Master's or Ph.D.) in quantitative fields such as AI/ML, Computer Science, Data Science, Statistics, Mathematics, or related disciplines.
Minimum 8+ years of analytics experience in financial services or related industries with at least 4 years specifically in AI/ML.
Proven expertise in AI/ML techniques including Generative AI, Natural Language Processing, and Agentic AI.
Work Experience Required: 8+ years (including minimum 4 years in AI/ML). Notice period: Not explicitly mentioned in the JD.
Experienced in applying technical and analytical skills to model risk validation specifically in AI/ML contexts within financial services.
Ability to independently manage multiple complex projects involving AI/ML risk assessment and to engage effectively with cross-functional stakeholders including audit and regulators.
Strong background in AI/ML innovation areas like Generative AI and Agentic AI, with understanding of their risk implications in large enterprise environments.