Stop Loss Data Modeler

Job Summary

To support pricing, rating, and reporting for stop-loss, reinsurance, and captive programs, the full-time Stop Loss Data Modeler will build, maintain, and enhance financial models and analytical tools while collaborating with actuarial and underwriting teams in a remote setting.

Key responsibilities

• Build, maintain, and improve financial models and analytical tools for stop-loss, reinsurance, and captive programs
• Translate collected data into actionable initiatives and assist with data collection, organization, and reporting
• Support automation and standardization of Excel-based tools, applying AI to enhance calculations and data organization

Required qualifications

• Bachelor's degree in finance, mathematics, statistics, economics, or a related field
• 5 years of relevant experience in financial modeling, data analysis, or a similar function
• Background in healthcare reinsurance, stop-loss, and/or captive insurance strongly preferred
• Advanced Excel skills and experience with AI tools for data analysis and modeling
• Familiarity with data manipulation and analytics tools such as SQL, Power BI, or Tableau is a plus