Related skills
r sql python machine learning insuranceπ Description
- Integrate industry and company data to price across regions, markets, and products.
- Develop and refine pricing models; support analytical tools for pricing.
- Monitor regulatory activity to ensure compliance in reporting.
- Establish standards for analysis and knowledge sharing across the team.
- Engage with industry groups and rating committees; represent BHHC as expert.
- Collaborate with clients, analytics, actuaries, underwriting, and marketing to insights.
π― Requirements
- Bachelor's in Statistics, Mathematics, Risk Management, or related quantitative field.
- FCAS/ACAS preferred; predictive modeling accreditation desirable.
- 7+ years FCAS/ACAS with pricing emphasis.
- Experience with R, Python, SAS, SQL for big data.
- In-depth knowledge of insurance pricing and predictive modeling; GLMs/ML.
- Proficiency in statistical analysis, forecasting, multivariate testing, optimization.
π 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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