
Associate Actuary, Capital Modeling
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in Massachusetts.
• Assist in the upkeep, governance, and continuous improvement of Hanover's Economic Capital Model (ECM)
• Evaluate model assumptions, methodologies, and outcomes, suggesting enhancements for effectiveness, accuracy, and business value
• Conduct enterprise risk quantification, stochastic modeling, and capital adequacy evaluations across underwriting, reserving, catastrophe, market, credit, and operational risks
• Execute stress testing and scenario analyses for emerging risks and evolving business conditions
• Assess economic capital usage, profitability, and risk-adjusted performance across various business segments
• Aid in the development of capital allocation and performance measurement frameworks to support strategic decision-making
• Analyze the effects of reinsurance arrangements, capital management strategies, and business opportunities on risk, return, and capital efficiency
• Evaluate capital implications stemming from strategic initiatives and management actions
• Collaborate with Finance, Enterprise Risk Management, Investments, Treasury, Pricing, Reserving, and business leaders to convey findings and facilitate enterprise decision-making
• Present insights and recommendations to both technical and non-technical audiences
• Contribute to model advancements, process optimizations, and the growth of Hanover's capital management capabilities
• Bachelor’s degree in a relevant technical or quantitative discipline
• Over five years of experience in actuarial science, capital modeling, enterprise risk management, predictive analytics, pricing, reserving, or a related analytical field
• ACAS designation or equivalent experience is preferred
• In-depth knowledge of actuarial modeling techniques, enterprise risk management principles, and capital management strategies
• Proficiency in interpreting complex analytical findings and converting them into actionable business recommendations
• Advanced proficiency in Microsoft Office applications, particularly Excel and PowerPoint
• Programming and analytical experience with Python, R, SQL, and other actuarial or data analytics tools
• Proven capability to automate processes, create analytical solutions, and enhance operational efficiency
• Demonstrated ability to juggle multiple priorities and produce high-quality work within set deadlines
• Capacity to influence decision-making and collaborate effectively across various functions and organizational levels
• Full-time, exempt employment status
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