Related skills
r sql python machine learning predictive modeling📋 Description
- Review rate adequacy and provide recommendations when deviations from standard assumptions occur.
- Enhance and refine pricing models; develop new models for strategic objectives.
- Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
- Develop and maintain analytical standards and procedures, including peer reviews.
- Engage with industry groups and rating committees; present as an expert thought leader.
- Lead enterprise initiatives as part of the Senior Leadership Team; reinforce accountability.
🎯 Requirements
- Bachelor's degree in Statistics, Mathematics, Risk Management, or related field.
- Fellow/Associate of the Casualty Actual Society; predictive modeling accreditation desirable.
- 7+ years FCAS/ACAS experience building pricing-focused predictive models.
- Experience with R, Python, SAS, SQL and other big data tools.
- In-depth knowledge of insurance and predictive modeling tech (GLMs, ML).
- Proficiency in statistical analysis, forecasting, multivariate testing and optimization.
🎁 Benefits
- Bonus Eligibility
- Hybrid Work Schedule (up to 2 days WFH)
- Paid Time Off
- Retirement Savings with Company Match
- Health, Dental, and Vision Insurance
- Tuition Reimbursement
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