Role Summary

HIGHLIGHTS

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

Role Summary

HIGHLIGHTS

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