Internship Model Risk Governance Jobs in New York

Description and Requirements

The Team You Will Join

Join our Global Risk Management Group, where you’ll play a key role in safeguarding the company, ensuring we deliver on our commitments to customers and stakeholders, and driving responsible growth. As part of our team, you’ll identify, monitor, and mitigate both financial and non-financial risks across the organization. Leverage your expertise as the second line of defense to advise our business on effective risk management strategies. This means challenging ideas, implementing robust controls, and enforcing guardrails to foster responsible business growth. Join us in advancing MetLife’s legacy of trust through exemplary risk management practices.

The Opportunity

The Vice President, AI Risk & Governance, is a strategic second-line risk leadership role within Global Risk Management (GRM) responsible for maintaining and evolving MetLife’s AI risk and governance framework.

The role identifies novel and emerging risks presented by artificial intelligence, translates those risks into governance requirements and practical controls, and ensures the enterprise’s AI activities remain aligned to risk appetite, existing financial and non-financial risk governance frameworks and regulatory expectations.

This position has broad enterprise impact through close collaboration within GRM, Data & Analytics, Technology, Legal, Privacy, Information Security, Ethical AI, Data Governance, Model Risk and Business stakeholders. The role helps shape the strategic vision for AI risk management, drives risk-based decisioning in the AI approval process, and strengthens consistency, transparency, and scalability of governance across new and emerging AI initiatives.

The role is critical to enabling AI development and innovation responsibly by balancing business value creation with disciplined risk oversight, clear escalation of material and emerging issues, and ongoing monitoring of AI risk themes, control effectiveness, and emerging regulatory developments.

Key Responsibilities

• Lead day-to-day execution of the AI governance approval process, including risk-based review, challenge, escalation, and alignment to enterprise risk appetite and responsible AI principles.
• Provide credible second-line challenge and thought leadership to senior stakeholders on acceptable use, control requirements, and mitigation strategies for AI risks.
• Translate risk appetite and regulatory expectations into actionable governance requirements and control expectations.
• Identify and assess novel, emerging, and cross-cutting risks arising from AI.
• Drive strategic improvements to financial and non-financial AI risk and governance processes, including transparency, efficiency, operating model design, and reporting.
• Help implement the strategic vision for AI risk management, including scalable governance, stronger risk identification, and monitoring capabilities.
• Partner with control functions and business teams to embed effective controls across the AI lifecycle.
• Operationalize risk-based integration across governance processes at the workflow and control level.

Required Qualifications

• 12+ years’ risk management experience within financial services or regulated industry.
• Deep understanding of AI technologies and associated risks, including machine learning, generative AI, agentic AI, model risk, and data risk, along with their application to business processes and systems.
• Proven experience designing, implementing, and enhancing enterprise governance frameworks, policies, standards, and approval processes.
• Demonstrated success operating within complex, highly matrixed organizations and influencing senior stakeholders across functions.
• Exceptional strategic thinking, judgment, problem-solving, and executive communication skills with the ability to identify emerging and regulatory issues and translate them into practical governance actions.
• Strong knowledge of regulatory, governance, and control expectations related to AI, models, data, and responsible AI practices.
• Bachelor’s degree required.

Preferred Qualifications

• Advanced degree in data science, applied mathematics, AI/ML, actuarial science or a related field preferred.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $238,800 - $318,300. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.