Actuarial Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create price elasticity curves to predict how changes in ratings affect policyholder retention and conversion, as well as evaluate their influence on customer lifetime value.

• Anticipate policyholder retention and conversion for the portfolio based on pricing strategies, operational modifications, and business initiatives.

• Enhance the sophistication of risk segmentation within our rating plans by developing GLM-based rating factors using R or Python and employing advanced predictive modeling techniques.

• Develop and sustain tools to assess the performance of our current rating plans and rate levels over time, focusing on metrics such as loss ratio, conversion rate, churn, and lifetime value.

• Craft advanced SQL procedures to extract data from extensive line-item level veterinary bill databases.

• Evaluate the effects of coverage and product modifications on pricing.

• Analyze product design proposals to assess their pricing viability, impact on enterprise risk, competitive standing, and customer value.

• Remain well-informed about competitor filings to gauge how our products and pricing compare within the market.

• Assist with rate filing and indication activities, including the creation of filings and responses to regulatory inquiries.

• Collaborate effectively with product, underwriting, marketing, business intelligence, and IT teams, translating complex actuarial concepts for non-actuarial audiences.

• Suggest innovative approaches for pricing new coverage concepts and ideas.

⛳️ Requirements

• ACAS designation is required (or ASA working in health insurance).

• Minimum of 5 years of experience in an actuarial or data science role within P&C and/or Health insurance.

• At least 2 years of experience in actuarial ratemaking and/or pricing modeling.

• Proficient knowledge of SQL is mandatory.

• Strong expertise in R and/or Python is essential.

• Intermediate proficiency in Excel is required.

• Advanced understanding of generalized linear models (GLMs) is necessary.

• Intermediate knowledge of elastic net GLMs, k-means clustering, and geospatial statistics is a plus.

• Competence in reviewing and assessing data for quality, completeness, and reasonableness is required.

• Experience with competitor filing research in SERFF is advantageous.

• Comfort with or willingness to learn how to utilize AI-assisted coding tools like Claude, GitHub Copilot, or Gemini.

• Exceptional verbal, interpersonal, and written communication skills; a collaborative team player capable of applying innovative ideas and critical thinking.

• Ability to foresee needs, innovate, and thrive in a high-volume, fast-paced environment.

🏝️ Benefits

• Comprehensive medical, dental, and vision coverage for you and your family.

• Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs) available.

• Highly competitive 401(k) matching program.

• Generous 20-day PTO policy with rollover options; earn an extra day of PTO each anniversary year with Fetch, up to a maximum of 30 days.

• Paid company holidays (9 total), including 1 floating holiday.

• Fetch Pet Insurance discount of up to 50%, providing potential savings of up to $1,000 per year.

• Educational Assistance Program.

• Fetch Discount Perks Program.

• Volunteering opportunities - earn up to 8 hours per calendar year at nonprofit organizations.

• NYC Office amenities: pet-friendly environment, complimentary lunch, snacks, and various additional amenities; easily accessible by transit.

• Employee Referral Incentive.

• Tuition Assistance.

• Commuter Benefits.

• Employee Assistance Program (EAP).