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Tier-1 bank and metro location raise applicant density, but specialized senior AI/model-risk focus limits broad competition.
Role requires specialized banking model-risk and generative AI validation expertise, limiting cross-industry transferability.
Explicit 8+ years experience, 4+ years AI/ML, Master's/PhD and regulatory validation requirements enforce strict screening.
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Independently review and validate AI/ML non-model objects, focusing on Generative AI and Agentic AI use cases, ensuring compliance with policies and managing associated risks.
Engage with stakeholders including AI/ML Developers, Model Risk Management Governance, AI Center of Excellence, Internal Audit, and regulators to support AI risk discussions and regulatory exams.
Contribute to the development and maintenance of risk measurement methodologies and best-in-class model risk management programs, policies, and practices.
Master’s or Ph.D. degree in AI/ML, NLP, Computer Science, Data Science, Statistics, Mathematics, Finance, or related quantitative field.
At least 8 years of analytics experience in financial services or related industries, including a minimum of 4 years focused on Artificial Intelligence or Machine Learning.
In-depth technical knowledge of AI/ML techniques including Generative AI, Natural Language Processing, and Agentic AI.
Work Experience Required: 8+ years in analytics with minimum 4 years in AI/ML domain.
Experienced in independent validation and credible challenge of AI/ML models within a regulated financial services environment.
Strong stakeholder engagement skills managing complex relationships across technical, risk, governance, and regulatory teams.
Ability to handle multiple concurrent projects, with proven organizational and project management capabilities in AI/ML risk validation.