Actuarial Data Scientist

📋 Description

• Develop price elasticity curves to forecast impact on retention and CLV.
• Forecast policyholder retention and conversion based on pricing and initiatives.
• Improve risk segmentation with GLM-based rating factors and predictive modeling.
• Build tools to monitor performance of rating plans, including loss ratio, conversion, churn, and LTV.
• Write SQL procedures to pull data from large veterinary bill databases.
• Evaluate pricing proposals and pricing of new coverage concepts.

🎯 Requirements

• ACAS designation required (or ASA working in health insurance).
• 5+ years actuarial or data science in P&C/Health insurance.
• 2+ years in actuarial ratemaking and/or pricing modeling.
• Advanced SQL knowledge.
• Strong knowledge of R and/or Python.
• GLMs with elastic net, k-means desirable.

🎁 Benefits

• Comprehensive medical, dental, and vision plan for you and your family.
• HSAs and FSAs are available.
• Highly competitive 401(k) matching.
• Generous 20-day PTO with rollover; anniversary year extra day up to 30 days.
• Paid company holidays including one floating holiday.
• Educational Assistance Program.