Senior Model Risk Manager - AI/ML

Mercury, a fintech company providing banking services for startups, is hiring a Senior Model Risk Manager - AI/ML to define what model governance looks like for AI/ML at the company. The role bridges traditional model risk management with modern AI challenges, covering the validation of predictive models, generative AI systems, and autonomous workflows.

Key responsibilities include maintaining model governance frameworks, performing independent validation, advising cross-functional teams, developing automation and tooling, and building organizational literacy around model risk in a fast-moving fintech environment. The role owns validation, monitoring, and governance of Mercury's AI/ML model portfolio.

The position is remote-eligible (US/Canada) with hybrid options at Mercury's San Francisco, New York, and Portland offices.

Qualifications

• Bachelor's in a quantitative field plus 6-10 years hands-on AI/ML development or validation experience
• Technical proficiency with Python, SQL, modern ML tooling, LLMs, RAG systems, and prompt engineering
• Experience testing ML/generative AI systems with custom evaluations or red-teaming
• Knowledge of model risk governance frameworks (SR 11-7)
• Strong communication across technical and regulatory audiences