Role Summary
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Senior predictive analytics role in P&C personal auto insurance based in Richardson, TX. You will lead development and deployment of GLM and machine-learning models to inform pricing, retention, lifetime value, and underwriting decisions. The role requires deep insurance product experience and technical proficiency in Python and SQL.
JOB DESCRIPTION SUMMARY
- Lead development of predictive models for loss cost, retention, and lifetime value
- Use GLMs and ML techniques (GBMs, random forests, decision trees, clustering)
- Collaborate with Product, Actuarial, Claims and present to senior leadership
- Hybrid role based in Richardson, TX
- Senior-level role requiring extensive personal auto insurance experience
DOMAIN EXPERTISE
- Personal auto insurance product or actuarial experience
- Designing and deploying predictive models and ML in production
- Structured and unstructured data analysis
- Proficiency in Python and SQL
- Experience with GLMs, GBMs, decision trees, random forests and clustering
KEY REQUIREMENTS
- 8+ years in personal auto insurance product, actuarial, or product management
- 5+ years designing, developing, and deploying predictive models and ML
- Proficiency with Python and SQL required
- Experience with structured and unstructured data analysis
- Bachelor's degree required; must be eligible to work in the U.S. without sponsorship
TECH STACK
- No tech stack specified
