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Tier-1 brand, metro location, and mid-level ML role drive high applicant competition.
Strong financial-services model-risk and regulatory requirements limit cross-industry transferability.
Advanced degree, explicit 4+ years and regulatory/model-risk experience create strict shortlisting.
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Perform independent review and challenge throughout the lifecycle of AI/ML non-model objects across various AI sub-fields including Generative AI, NLP, Computer Vision, etc.
Ensure compliance with policies, procedures, templates, and testing guidance to manage risks associated with AI/ML non-model objects.
Engage with stakeholders such as AI/ML sponsors, governance bodies, auditors, and regulators to address AI/ML risk management and support regulatory exam requirements.
Advanced degree (Master’s or above) in Mathematics, Statistics, Computer Science, Engineering, Data Science, AI/ML or related field.
Minimum 4 years analytics experience in financial services or related industries; at least 2 years focused on AI/Generative AI/Agentic AI/ML.
Strong technical knowledge of AI/ML techniques relevant to non-model validation.
Clear written and oral communication skills; project management experience mentioned but not explicitly required as a filter.
Experienced in risk management related to AI and machine learning non-models within financial services.
Capable of independently conducting reviews and providing credible challenge while managing multiple stakeholder relationships.
Comfortable working in a structured model risk management environment supporting regulatory compliance and cross-functional risk initiatives.