Manager, Insurance Modeling
HybridPersonal Property HomeownersPricing & RatingPredictive Modelling & MLData Engineering
Role Summary
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Manager-level P&C insurance modeling role focused on homeowners loss cost modeling. You will design, build, and deploy Python/SQL-based by-peril frequency and severity models, own production workflows in an Airflow pipeline, and lead a small modeling team. Hybrid role across San Francisco Bay Area, Austin, Dallas, and Morristown, NJ.
JOB DESCRIPTION SUMMARY
- Lead homeowners loss cost modeling and set technical standards
- Design by-peril frequency and severity predictive models
- Build production-ready Python and SQL tooling in an Airflow pipeline
- Partner with Product, Underwriting, and Engineering on deployments
- Hybrid role with hubs in SF Bay Area, Austin, Dallas, and Morristown
DOMAIN EXPERTISE
- Personal lines P&C insurance experience
- Homeowners loss cost modeling
- Experience with demand, underwriting, or claims modeling
KEY REQUIREMENTS
- Bachelor’s degree in a quantitative field (required)
- 5+ years in data science, analytics, or actuarial modeling in personal P&C
- Strong experience with loss cost modeling and frequency/severity work
- Advanced proficiency in Python and SQL
- Experience translating models into production workflows (Airflow mentioned)
TECH STACK
- Other_BI_Tool
