ERM Actuary Senior

Responsibilities

• Leverage data and expertise from across the organization to assess risk exposures and inform capital management, reinsurance, and other strategic business decisions.
• Lead or support enterprise risk management processes, including the annual Own Risk and Solvency Assessment (ORSA), Risk Strategy, risk assessments, and risk reporting.
• Partner with business leaders and executive management to evaluate risks, assess management actions, and support risk-informed decision making.
• Drive the continued development of the internal economic capital model to improve the identification, measurement, and aggregation of risks, including emerging risks such as cyber, climate, and wildfire.
• Independently or collaboratively perform model validation activities and evaluate methodologies, assumptions, and implementation against industry standards and best practices.
• Provide risk and capital expertise to business and executive stakeholders through analysis, presentations, training, and consultation.
• Translate complex quantitative concepts into actionable insights that support strategic planning, risk management, and business decision making.

Qualifications

• Ten or more years of experience in (re)insurance, actuarial, risk management, or related analytical disciplines, with demonstrated ability to apply quantitative analysis to business and strategic decision making.
• Comprehensive knowledge of actuarial and statistical models, analytical techniques, and their practical applications within the insurance industry.
• Demonstrated ability to develop expertise in new subject areas through self-learning, research, and collaboration with internal and external experts.
• Experience with statistical programming languages (e.g., R, Python) and data analytics tools and platforms (e.g., SQL, Git, Azure).
• Broad understanding of (re)insurance company operations, products, risk exposures, financial performance drivers, and the data used to support underwriting, capital management, and business decision making.
• Demonstrated ability to communicate complex quantitative concepts to both technical and non-technical audiences and influence decision making across a broad range of stakeholders.
• Bachelor's degree in Mathematics, Actuarial Science, Economics, Finance, Statistics, or another quantitative discipline.
• Fellow of the Casualty Actuarial Society (FCAS), comparable international actuarial designation, CFA Charter holder, or advanced degree in Actuarial Science, Economics, Finance, Mathematics, Risk Management, or a related field (preferred).