Related skills
r sql python machine learning sasπ Description
- Review rate adequacy; recommend revisions to standard assumptions.
- Enhance/refine pricing models; develop new pricing models.
- Monitor regulatory activity; ensure compliance.
- Develop/maintain analytical standards and procedures.
- Engage with industry orgs and rating committees.
π― Requirements
- Bachelor's in Statistics/Math/Risk Mgmt required
- 7+ years FCAS/ACAS pricing model experience
- Proficient with R, Python, SAS, SQL
- GLMs, nonlinear models, ML for pricing
- Insurance pricing domain knowledge
- Predictive modeling accreditation desirable
π Benefits
- Bonus Eligibility
- Hybrid Work Schedule (up to 2 days WFH)
- Free Onsite Parking
- Free Onsite Fitness Facility
- Paid Time Off
- Paid Holidays
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