Description

You will build and maintain the rating engine that calculates insurance premiums by translating actuarial models into production-grade code.

This role is on-site.

Responsibilities

• Develop backend systems that ingest risk attributes and calculate accurate policy premiums, discounts, and surcharges.
• Collaborate with actuaries to convert manual rate manuals and statistical models into executable, production-grade code.
• Build and manage data pipelines using Pandas and NumPy to process historical claims and policy data.
• Implement machine learning algorithms using Scikit-Learn to evaluate risk loss and optimize pricing models.
• Ensure rating logic complies with state insurance regulations by building logging and auditing mechanisms into the code.

Required Skills

• 5+ years of experience with Python and SQL for data manipulation and database querying.
• Proficiency in Pandas and NumPy for cleaning, sorting, and processing large historical datasets.
• Experience building classification and regression algorithms using Scikit-Learn.
• Knowledge of Generalized Linear Models (GLMs) using Statsmodels for insurance ratemaking.
• Familiarity with AWS services (Lambda, S3) or Azure for running pricing models.
• Experience with Docker and CI/CD tools for deployment workflows.
• Standard team workflows using Git/GitHub for version control and model tracking.
• Understanding of ETL processes to integrate data from massive insurance databases.

Preferred Skills

• Experience with modern underwriting and actuarial platforms like Guidewire, hx Renew, or Openkoda.
• Knowledge of ratemaking fundamentals including loss cost modeling and frequency vs. severity distributions.

Key Skills

Education

Bachelor's degree