Description

Build production-grade rating engines and predictive pricing models for insurance risk assessment.

This role is on-site.

Responsibilities

• Write and maintain backend code to ingest risk attributes and calculate policy premiums, discounts, and surcharges.
• Collaborate with actuaries to translate manual rate manuals and statistical models into executable code.
• Build and manage data pipelines using Pandas and NumPy to process historical claims and policy data.
• Develop machine learning algorithms to evaluate risk loss and optimize pricing models.
• Implement logging and auditing mechanisms to ensure rating logic complies with state insurance regulations.

Required Skills

• 7+ years of experience in data science or quantitative engineering.
• Advanced proficiency in Python and SQL for data manipulation and querying.
• Experience with Pandas, NumPy, and Scikit-Learn for predictive modeling.
• Knowledge of AWS (Lambda, S3) or Azure services for cloud computing.
• Familiarity with Docker and CI/CD tools for deployment.
• Understanding of insurance ratemaking fundamentals, including loss cost modeling and frequency vs. severity distributions.
• Experience with Git/GitHub for version control.

Preferred Skills

• Familiarity with insurance platforms like Guidewire, hx Renew, or Openkoda.
• Experience parsing telematics data from usage-based insurance trackers.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree