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Senior Model Risk Manager - AI/ML

Mercury

Role at a glance

Category: AI Governance
Work arrangement: Remote
Location: Raleigh, NC
Salary range: $200,700 to $250,900
Posted: Jun 13, 2026

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Mercury is hiring a Senior Model Risk Manager - AI/ML in Raleigh, NC. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $200,700 to $250,900. Review the full details below and apply directly with Mercury.

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

Full responsibilities and requirements are on Mercury's application page.

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About Mercury

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This is a remote AI governance role, so it draws from a national talent pool rather than a single metro. Remote governance and compliance roles reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Mercury.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Mercury would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.