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Per Year Associate Actuary, Capital Modeling (REMOTE)

The Hanover Insurance Group Inc.

Occupation:

Actuaries

Location:

Worcester, MA - 01612

Job Type:

Full Time (30 Hours or More)

Posted:

08/20/2026

Positions available: 1

Source:

The Hanover Insurance Group Inc.

Web Site:

www.hanover.com

Onsite /

Remote:

Work at home all of the time

Job #: 20014

Job Requirements and Properties

Help for Job Requirements and Properties. Opens a new window. Telework & Remote

Full Time Schedule

Full Time

Job Description

Help for Job Description. Opens a new window. Our Corporate Actuarial department is seeking an Associate Actuary to join the Economic Capital Modeling team our Worcester, MA Corporate Headquarters or remote.

POSITION SUMMARY

This role supports the development, maintenance, and application of Hanover's Economic Capital Model (ECM) and related capital management tools. The ECM serves as a key decision-support framework for evaluating enterprise risk, capital requirements, risk-adjusted performance, reinsurance strategies, and strategic business opportunities. Responsibilities include capital modeling, model validation, capital allocation analysis, profitability assessments, and evaluation of the impact of business and reinsurance strategies on enterprise risk and return. This role partners with a variety of departments, including corporate finance, Reinsurance and Enterprise Risk Management. Strong analytical and communication skills are essential, as findings and recommendations will be presented to both technical and non-technical stakeholders. The position also contributes to ongoing model enhancements, process improvements, and the continued evolution of Hanover's capital management capabilities. This is a Full-time, Exempt role.

IN THIS ROLE, YOU WILL

Support the maintenance, governance, and ongoing enhancement of Hanover's Economic Capital Model (ECM). Analyze model assumptions, methodologies, and outputs, contributing recommendations that improve the ECM's effectiveness, accuracy, and business value. Perform enterprise risk quantification, stochastic modeling, and capital adequacy analyses across underwriting, reserving, catastrophe, market, credit, and operational risks. Conduct stress testing and scenario analyses to assess the impact of emerging risks and changing business conditions on capital requirements. Analyze key drivers of economic capital consumption, profitability, and risk-adjusted performance across business segments. Support the development and maintenance of capital allocation and performance measurement frameworks used in strategic decision-making. Determine the impact of reinsurance structures, capital management initiatives, and business opportunities on risk, return, and capital efficiency. Analyze the capital implications of strategic initiatives and management actions, providing data-driven insights and recommendations. Partner with Finance, Enterprise Risk Management, Investments, Treasury, Pricing, Reserving, and business leaders to communicate results and support enterprise decision-making. Additional Information

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WHAT YOU NEED TO APPLY

Bachelor's degree in a relevant technical or quantitative field. Five+ years of actuarial, capital modeling, enterprise risk management, predictive analytics, pricing, reserving, or related analytical experience. ACAS or equivalent experience preferred. Strong understanding of actuarial modeling techniques, enterprise risk management concepts, and capital management principles. Experience interpreting complex analytical results and translating them into business recommendations. Advanced skills using Microsoft Office, including Excel and PowerPoint. Programming and analytical experience using Python, R, SQL, and other actuarial or data analytics tools, with demonstrated ability to automate processes, develop analytical solutions, and improve operational efficiency Proven ability to manage multiple priorities and deliver high-quality work within established timelines. Ability to influence decisions and collaborate effectively across functions and organizational levels