Related skills
r sql python machine learning glmπ Description
- Identify risk segmentation gaps; build predictive models (GLMs/GBMs) for rating revisions.
- Develop models to assess pricing changes' impact on conversion, churn, profitability.
- Revise ratings for territories and breed groups using ML approaches.
- Forecast key metrics such as churn, written premium, and claim volumes.
- Write SQL queries to support ad hoc data requests and pricing datasets.
- Location: Remote (U.S.).
π― Requirements
- 3+ years in P&C or Health Insurance; 2+ years in ratemaking or predictive modeling.
- Graduate degree in quantitative field; ACAS preferred.
- Advanced SQL plus one of R or Python.
- Hands-on ML and classical statistics for rating plans.
- Geospatial stats or clustering experience is a plus.
- Translate complex models into clear recommendations for non-technical stakeholders.
π Benefits
- Comprehensive medical, dental, and vision for you and your family.
- HSAs/FSAs available and 401(k) matching.
- Generous PTO: 20 days, with rollover and anniversary increases up to 30 days.
- 9 holidays plus 1 floating holiday.
- Fetch Pet Insurance discount up to 50% (up to $1,000/year).
- Educational Assistance Program and Discount Perks Program.
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