Related skills
r sql python decision trees glmsπ Description
- Own and develop expertise on homeowners rating plans and rate indications
- Contribute to predictive modeling projects with the Data Science team
- Craft rate filing support for new machine learning models
- Identify pricing opportunities via ongoing monitoring of results
- Partner with Underwriting, Product, Claims, and BI to drive alignment
- Advance actuarial credentials through qualifications and industry research
π― Requirements
- 4+ years of P&C actuarial experience, preferably in personal lines pricing
- 5 CAS exams or 6 SOA exams, preferred
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field
- Working knowledge of R or Python, and proficiency in SQL
- Familiarity with predictive modeling concepts (GLMs, trees, GBMs, RFs, clustering)
- Ability to work in a remote environment
π Benefits
- Equity and comprehensive benefits
- Remote-friendly, flexible work options
- AI-first, learning-focused environment
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