Predictive Modeling Actuary

A large insurance carrier is looking to hire a Predictive Modeling Actuary to their high performing team. This role will support pricing and analytics for the North America Small and Lower Middle Market Workers' Compensation business.

This position can be based in NJ, PA, CT, or fully remote will be considered for strong candidates.

Key Responsibilities

Pricing & Modeling

• Contribute to the development, maintenance, and refinement of pricing tools and models.

• Support model implementation in partnership with cross-functional teams, ensuring alignment with business objectives.

• Monitor industry and market trends to inform pricing strategies.

• Work with internal and external data sources to improve data quality and accessibility.

• Assist in building processes to track model performance and business outcomes.

• Provide actionable insights through analysis of trends and portfolio performance.

• Apply actuarial techniques to evaluate risk, pricing, and profitability.

• Review and validate actuarial analyses for accuracy and consistency.

• Collaborate with actuarial teams across the organization to share knowledge and strengthen best practices.

Qualifications

• Strong actuarial background with experience in workers' compensation pricing; ACAS/FCAS or equivalent experience required.

• At least 2+ years in predictive modeling; prior experience building and implementing commercial lines pricing models is a plus.

• Solid knowledge of statistical analysis; familiarity with machine learning or data mining is an advantage.

• Proficiency in SQL, Python, and/or R, with hands-on coding expected.

• Strong analytical and quantitative skills, with excellent business acumen and strategic thinking.

• Strong written and verbal communication skills with the ability to collaborate effectively across teams.

Eames Consulting is acting as an Employment Agency in relation to this vacancy.