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Actuarial Data Scientist

3 months ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Python R SQL
Apply Now
Fetch

Fetch

Fetch Technologies is a company that connects businesses to real-time data through automation and offers artificial intelligence-based web integration solutions. Their Fetch app allows users to earn free gift cards by shopping, snapping receipts, and r...

IT Services
11-50
Founded 2000
$582M raised
View All Jobs 7

Description

  • Develop price elasticity curves to forecast the impact of pricing changes on retention, conversion, and customer lifetime value.
  • Forecast policyholder retention and conversion based on pricing, operational changes, and business initiatives.
  • Improve rating plan risk segmentation by developing GLM-based rating factors and applying advanced predictive modeling techniques.
  • Build and maintain performance monitoring tools for rating plans and rate levels, including loss ratio, conversion rate, churn, and lifetime value.
  • Write advanced SQL procedures to extract and analyze data from large, line-item veterinary bill databases.
  • Estimate the pricing impact of coverage and product changes.
  • Analyze new product proposals for pricing viability, enterprise risk, competitive positioning, and customer value.
  • Support rate filings, rate indications, and responses to regulatory objections.
  • Review competitor filings to understand market positioning and pricing.
  • Collaborate with product, underwriting, marketing, BI, and IT teams and present actuarial findings to non-actuarial audiences.

Requirements

  • ACAS designation required, or ASA working in health insurance.
  • At least 5 years of experience in an actuarial or data science role in P&C and/or health insurance.
  • At least 2 years of experience in actuarial ratemaking and/or pricing modeling.
  • Advanced knowledge of SQL is required.
  • Strong knowledge of R and/or Python is required.
  • Intermediate knowledge of Excel is required.
  • Advanced knowledge of generalized linear models (GLMs) is required.
  • Intermediate knowledge of elastic net GLMs, k-means clustering, and geospatial statistics is desirable.
  • Ability to review data for quality, completeness, and reasonability is required.
  • Experience performing competitor filing research in SERFF is a plus.
  • Willingness to learn AI-assisted coding tools such as Claude, GitHub Copilot, or Gemini.
  • Excellent verbal, interpersonal, and written communication skills.
  • Ability to anticipate needs and thrive in a high-volume, fast-paced environment.

Benefits

  • Base salary of $150,000 to $160,000 per year.
  • Eligibility for additional bonuses and the company bonus plan.
  • Comprehensive medical, dental, and vision coverage for employees and their families.
  • Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
  • Highly competitive 401(k) matching.
  • Generous 20-day PTO policy with rollover, plus an additional PTO day each year up to 30 days.
  • Paid company holidays, including one floating holiday.
  • Fetch pet insurance discount of up to 50% off, with up to $1,000 in annual savings.
  • Educational assistance and tuition assistance programs.
  • Volunteer time off of up to 8 hours per calendar year.
  • Employee Assistance Program (EAP) and support for mental health and well-being.
  • Complimentary daily lunch when in office, plus pet-friendly office amenities and transit access in NYC.

Interested in this position?

Apply directly on the company website

Apply Now

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