Stop Loss Data Modeler
$112,000–$140,000 year
RemoteUnited States
Job Summary
Build, maintain, and improve financial models and analytical tools supporting actuarial pricing, manual rating, and reporting for stop-loss, reinsurance, and captive programs. Translate collected data into actionable initiatives and assist with developing, organizing, and reporting additional data meaningful for the firm. Automate and standardize Excel-based tools, applying AI to speed calculations and quality checks. Update rating templates and rate calculators for underwriting teams, perform quality checks against source data, and track cost drivers and portfolio metrics. Collaborate with actuarial, underwriting, finance, and sales teams to gather requirements, prepare documentation, and support ad hoc data requests for senior leadership.
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
Desired Qualifications
- Advanced Excel skills, with experience building and maintaining complex workbooks, financial models, and related analytical tools
- Experience using AI tools (e.g., Claude, ChatGPT) to support data analysis, modeling, or process improvement
- Familiarity with data manipulation and analytics tools (e.g., SQL, Power BI, Tableau)
- Strong attention to detail and accuracy
- Strong interpersonal skills (written and verbal)
- Committed team player, comfortable supporting senior actuarial staff as needed
- Ability to manage multiple priorities and work independently
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