Risk Analytics Data Scientist

Job Summary

A company is looking for a Lead Risk Analytics Data Scientist.

Key Responsibilities

• Design and implement premium structures for new merchant categories and partnerships
• Transform monitoring functions into decision-making tools for leadership regarding claims initiatives and premium adjustments
• Develop and manage the data architecture for the Risk Analytics function, utilizing modern data infrastructure and AI tools

Required Qualifications

• 5+ years of experience in actuarial pricing, predictive modeling, or related Risk Analytics fields
• Strong analytical skills with proficiency in SQL, Python or R, and data visualization tools
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field
• Relevant actuarial experience (e.g., ACAS or equivalent) preferred but not required
• Passion for utilizing AI tools to enhance efficiency in workflows