Position: Senior Associate Actuary

Location: Fairfield County, CT (Hybrid)

Salary: $140,000–$200,000 + Bonus

Actuarial Summary:

This exciting opportunity is designed for an actuarial professional with strong property and casualty experience seeking exposure to reserving, pricing analytics, and enterprise risk management within a collaborative and data-driven environment. The Associate Actuary will play a key role in supporting reserve reviews, pricing analyses, and capital modeling initiatives while leveraging advanced analytics and external market data to inform business decisions.

The position offers hands-on analytical responsibility, visibility with senior leadership, and the opportunity to contribute to strategic initiatives through actuarial insight, predictive modeling, and modern data tools.

Key Responsibilities & Qualifications:

Conduct quarterly reserve reviews and monitor portfolios of Workers’ Compensation claims, analyzing paid and incurred development patterns for medical, indemnity, and expense components

Analyze statistical data, claims experience, and market trends to support pricing strategies and develop premium and loss projections for financial and underwriting planning

Evaluate trends using external economic indicators including industry benchmarks, medical CPI indices, and wage data to enhance reserving accuracy

Assist in developing and enhancing actuarial tools and models to improve the efficiency and accuracy of reserving and pricing analyses

Develop and enhance reporting tools and analytics capabilities in partnership with data and operational reporting teams

Build and implement models leveraging large datasets, statistical methods, and predictive analytics to support business decision-making

Translate complex analytical findings into clear insights through business-friendly communication and data visualization tools

Support capital modeling initiatives and assist with enterprise risk management processes, including maintaining risk registers and monitoring emerging risks

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field

ACAS preferred; candidates with significant progress toward ACAS (5+ CAS exams) will also be considered

5+ years of actuarial experience within the property and casualty insurance industry

3+ years of Workers’ Compensation experience strongly preferred

Experience with Power BI or similar data visualization tools preferred

Experience with Python, R, SQL, or similar programming tools for statistical analysis is a plus

Familiarity with machine learning or predictive modeling frameworks is a plus