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Predictive Modeling & Risk Scientist

1 week, 4 days ago
United States
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Machine Learning Python SQL
Apply Now
Cover Whale

Cover Whale

Cover Whale | Truck Insurance, Hotshot Trucking, UIIA, Get Appointed Insurtech for commercial truck insurance, saving wholesale and retail insurance agents time & hassles. Get your fast estimates and binders now! Seasoned insurance executive brings nea...

Insurance
51-250
Founded 2019
View All Jobs 7

Description

  • Own and continuously improve the end-to-end reserving process.
  • Maintain and enhance Python-based reserving models to improve accuracy and efficiency.
  • Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection.
  • Build and refine large loss models using claims notes and historical data to identify high-risk claims earlier.
  • Design and implement dynamic pricing frameworks using live market and portfolio data.
  • Translate complex data insights into clear business recommendations for underwriting, growth, and leadership teams.
  • Produce carrier-level reporting deliverables and analytical outputs that meet quality and compliance standards.
  • Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
  • Automate recurring analyses and reporting workflows to improve speed, scalability, and reliability.

Requirements

  • Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
  • Strong proficiency in Python for statistical modeling and data analysis.
  • Comfortable leveraging AI-assisted coding tools such as Claude or Copilot while critically validating outputs.
  • Experience working with large-scale datasets and building production-grade analytical models.
  • Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
  • Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
  • Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
  • Strong SQL and data manipulation skills.
  • Experience building automated analytical pipelines or reporting workflows.
  • Actuary, Mathematics, or Big Four consulting experience preferred.
  • Must be authorized to work for any employer in the U.S.; no visa sponsorship available.
  • Candidates may be asked to complete a brief work exercise related to predictive modeling and risk analysis, with reasonable compensation provided.

Benefits

  • Base salary of $128,000 - $185,000 at commencement of employment.
  • Potential discretionary bonus as part of the total compensation package.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan with company match.
  • Wellness benefits, including EAP and gym reimbursement.
  • Life insurance coverage, including basic, voluntary, and AD&D.
  • Paid time off, including vacation, sick time, and public holidays.
  • Paid family leave, including maternity and paternity leave.
  • Tuition assistance.
  • Professional training and development.

Interested in this position?

Apply directly on the company website

Apply Now

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