Senior Associate Actuary
Smith Hanley Associates, Hartford, CT, United States
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.
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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.
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