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Tier-1 brand, metro location, and mid-level (4+) experience create high competition density.
Requires financial model risk and AI validation expertise, limiting cross-industry transferability.
Requires advanced degree plus explicit 4+ years and 2+ years AI experience, making filters strict.
Perform independent review and challenge of AI/ML non-model objects across their lifecycle to manage associated risks.
Ensure compliance with policies, procedures, and testing guidance related to AI/ML non-models.
Engage with stakeholders such as AI/ML sponsors, governance teams, audits, and regulators to support regulatory exam requirements and risk program development.
Advanced degree (Master’s or above) in mathematics, statistics, computer science, engineering, data science, AI/ML or related fields.
Minimum 4 years analytics experience in financial services or related industries; at least 2 years specifically in AI/Generative AI/Agentic AI/ML.
In-depth technical knowledge of AI/ML techniques.
Work Experience Required: Minimum 4 years analytics experience with at least 2 years in AI/ML domains.
Experienced in AI/ML risk review within financial services, familiar with regulatory and governance environments.
Capable of managing multiple projects with strong stakeholder management skills across diverse teams.
Able to implement and enhance risk measurement methods for market, credit, and operational risks related to AI/ML models.