AVP & Actuary

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 AVP and Actuary is responsible for owning the Insurance Risk Economic Capital (EC) framework and overseeing actuarial assumptions, with responsibility for reporting, planning, methodology, and ongoing evolution of capabilities across the enterprise. This is an exciting opportunity to lead the transformation of EC processes from manual, spreadsheet-driven workflows to automated, scalable, and insight-driven capabilities, while ensuring strong governance, transparency, and control. In parallel, the role will provide independent review and challenge of actuarial assumptions, including increasing use of AI and advanced analytics in assumption setting. Over time, this role will play a key part in repositioning Insurance Risk for an AI-enabled environment, strengthening how experiences and emerging risks are translated into business decisions. Key Responsibilities End-to-End Ownership of Economic Capital Own the Insurance Risk EC framework, including reporting, planning, methodologies, and outputs. Ensure EC results are accurate, timely, and decision-useful, with strong governance and auditability. Serve as the central point of accountability for EC across Insurance Risk and Actuarial stakeholders. Continuously evolve EC methodologies to reflect changes in business strategy, products, and risk profile. Modernize EC Reporting & Production Lead the transformation of EC reporting toward automated, controlled, and scalable processes. Significantly reduce reliance on manual spreadsheets and fragmented workflows. Establish sustainable production processes with clear controls, data lineage, and documentation Foster a shift from production-focused work to insight-driven analysis within the team. Introduce and scale use of automation, data analytics, and AI-enabled tools where appropriate. Own and Enhance EC Planning & Projections Own the EC planning process, including projection of capital aligned with business plans and strategic initiatives. Improve efficiency, consistency, and transparency of forward-looking capital analysis. Enable scenario-based and dynamic capital planning, supporting decision-making across the organization. Incorporate AI and Emerging Risks into EC Own the approach for integrating AI-related risks into the EC framework Ensure risks such as model instability, bias, and data drift are appropriately reflected in capital assessments. Evolve practices over time as AI usage expands Provide independent review and challenge of key actuarial assumptions, including mortality, morbidity, and PHB behavior assumptions. Evaluate assumption-setting methodologies, experience studies, and use of advanced analytics and AI models. Ensure assumptions are appropriate, explainable, and aligned with observed experience and forward-looking risks. Cross-Functional Leadership & Influence Work closely with Actuarial, Product, Finance, Capital Management, and Modeling teams. Act as a bridge between risk, business, and technical teams, enabling alignment and execution. Influence senior stakeholders through clear communication of complex risk and capital insights Required Qualifications 10+ years in insurance, actuarial, or risk management role FSA/ASA (or equivalent) strongly preferred Strong understanding of: Economic capital frameworks Actuarial assumptions and experience studies Insurance product risks Experience improving or transforming reporting, modeling, or analytics processes Familiarity with: Data and analytics tools (e.g., Python, visualization tools) Automation approaches AI / advanced analytics concepts Strong analytical, problem-solving, and communication skills Preferred Qualifications Strong sense of ownership and accountability for critical enterprise processes Comfortable challenging actuarial assumptions with credibility and independence Curious and forward-looking, with interest in AI, analytics, and evolving risk practices Collaborative leader who can influence across functions without direct authority #J-18808-Ljbffr MetLife