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r sql python machine learning insurance📋 Description
- Review rate adequacy and recommend revisions.
- Enhance and refine pricing models to support objectives.
- Monitor regulatory activity for mandated reporting.
- Develop and maintain analytical standards and procedures.
- Engage with industry groups and rating committees.
- Collaborate with SLT to champion enterprise initiatives.
🎯 Requirements
- Bachelor’s degree in statistics, mathematics, risk mgmt, or related field.
- Fellow/Associate of the Casualty Actual Society preferred; Predictive Modeling accreditation desirable.
- 7+ years FCAS/ACAS pricing-modeling experience.
- Experience with R, Python, SAS, SQL for large data analysis.
- In-depth knowledge of insurance pricing and predictive modeling tech.
- Expert in GLM, nonlinear models, ML for pricing.
🎁 Benefits
- Bonus Eligibility
- Hybrid work schedule (up to 2 days from home)
- Paid Time Off
- Paid Holidays
- Immediate vesting of retirement savings + company match
- Group health, dental, and vision insurance
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