Related skills
r sql python machine learning glm📋 Description
- Review rate adequacy and propose revisions to pricing assumptions.
- Enhance and refine pricing models to support strategic objectives.
- Monitor legislative and regulatory activity for mandated reporting compliance.
- Develop and maintain analytical standards and documentation.
- Engage with industry groups and rating committees as a thought leader.
🎯 Requirements
- Bachelor's degree in Statistics, Mathematics, Risk Management, or related quantitative field.
- Fellow or Associate of the Casualty Actual Society preferred; PM accreditation desirable.
- 7+ years FCAS or ACAS experience building pricing-focused predictive models.
- Experience with R, Python, SAS, SQL for big data analysis.
- In-depth knowledge of insurance pricing and current predictive modeling tech; GLMs/ML.
- Proficiency in statistical analysis, forecasting and optimization.
🎁 Benefits
- Bonus Eligibility
- Hybrid Work Schedule (up to 2 days work from home)
- Paid Time Off
- Paid Holidays
- Immediate Vesting of Retirement Savings + Company Match
- Group Health Insurance (Medical, Dental, and Vision)
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