Associate Health Actuary

Position Overview

The Amwins Benefits Division is seeking an Associate Health Actuary to join their team. Reporting to the SVP, Health Actuary, this role will provide actuarial support for self-funded group health and stop-loss analytics, influencing underwriting strategy, pricing, product development, and business growth.

Responsibilities

• Prepare and maintain self-funded group financial analyses (SFAs)
• Analyze reinsurance and stop-loss coverage and interpret contract terms
• Evaluate alternative funding arrangements and develop premium equivalent rates
• Validate medical claim trend rates and stop-loss pricing trends
• Prepare IBNR/reserve estimation and perform reserve adequacy testing
• Pricing / Underwriting: Review and development of manual rates, evaluate and support development of new products and underwriting methodologies, benefits valuation and plan changes based on utilization and network assumptions, health care renewal analysis, pricing and trend analyses, claims/premium projections
• Benchmarking: Analyze block-of-business experience data against carrier data, industry trends, or studies, assess impact of additional cost containment services and support performance guarantee determination
• Communication & Collaboration: Communicate actuarial findings and recommendations clearly to non-actuarial audiences, build and maintain working relationships with underwriters, producers, and broker partners, support internal training and education for underwriters and junior producers on actuarial concepts, pricing methodology, and stop-loss/self-funded fundamentals, represent the actuarial team in cross-functional discussions and, at times, client- or broker-facing conversations, collaborate across multiple operating companies within the Benefits Division

Qualifications

• Bachelor's degree in a related field (actuarial science, mathematics, data science, or another major with quantitative course work)
• Recent or near ASA with not less than 5 years of health actuarial experience; self-funded and/or stop-loss experience strongly preferred
• Experience in data mining, statistical analysis, and data transformation/manipulation
• Expertise in database software such as SQL and/or Python
• Proficiency in Power BI or Tableau is a plus
• Extensive use of Microsoft Office products (especially Excel with VBA and PowerPoint)
• Strong math skills and the ability to solve and understand analytical problems and solutions
• Able to prioritize workload and work within tight timeframes when required
• Able to work within a team environment but also organize an individual workload
• Understanding of self-funded group health, stop-loss, medical underwriting, and the insurance industry
• Ability to quickly learn new software programs
• Able to tell a succinct, meaningful, and actionable story with data
• Excellent written and verbal communication skills
• Must be a team player and able to work in a fast-paced, exciting environment