Associate Actuary - P&C Pricing & Analytics (Remote)

EverPeak; United States; On-site; USD 115,500 - 139,500; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

Holidays

401k matching

Performance bonus

Job summary

EverPeak is seeking an Associate Actuary to lead pricing, reserving, and predictive modeling within a shared services team. You will partner with Underwriting, Claims, and Finance to drive profitability and provide data-driven insights.

Requirements include ACAS/near ACAS, 5+ years in P&C (WC preferred), and strong Excel/SQL; Python or R for modeling. Hybrid work in the Denver region with competitive compensation.

Qualifications

• ACAS or near ACAS; FCAS preferred.
• 5+ years of professional P&C insurance experience in pricing, reserving or predictive modeling (WC desirable).
• Familiar with MGA or subsidiary operational/data needs.
• Expert Excel; SQL for data extraction; Python or R for modeling.
• Strong analytical and communication capabilities.

Responsibilities

• Lead actuarial analyses in pricing, reserving and predictive modeling.
• Collaborate with Underwriting, Claims and Finance for data-driven insights.
• Develop pricing models and rate adequacy monitoring tools.
• Perform quarterly/annual loss and LAE reserve analyses.
• Design complex data analyses and build predictive models for risk segmentation.
• Translate findings for senior leadership, board and regulators.
• Provide peer review and guidance to junior analysts.

Skills

Advanced Excel

SQL

Python or R

Analytical thinking

Communication skills

Education

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

Tools

Python/R environment

Job description

EverPeak is seeking an Associate Actuary to lead pricing, reserving, and predictive modeling within a shared services team. You will partner with Underwriting, Claims, and Finance to drive profitability and provide data-driven insights.

Requirements include ACAS/near ACAS, 5+ years in P&C (WC preferred), and strong Excel/SQL; Python or R for modeling. Hybrid work in the Denver region with competitive compensation.