Responsibilities

• Build and maintain efficient rating systems and models in Python and Excel
• Build and maintain risk and simulation models to analyze and steer the business
• Research industry data to enhance rating, filings, and underwriting guidance
• Develop complex analyses of underwriting, operations, and product performance
• Assist data science and insurance teams with ad hoc analysis and data cleansing
• Support the integration of new data sources to maximize business applications
• Maintain a clean production environment for data models
• Present findings and opinions to technical and non-technical stakeholders

Requirements

• Minimum 3 years of work experience including P&C insurance
• 2+ years of experience with Python
• Bachelor's or Master's degree in a quantitative discipline (e.g., Actuarial Science, Math, Statistics, CS)
• Experience with m...