Join our team as a Senior Insurance Data & Risk Analyst! You’ll analyze US non-life insurance data, including property, policy, coverage, and location information. You’ll support CAT Modeling by validating and preparing insurance data, assessing property exposure to natural catastrophes, and identifying risk concentrations and potential losses. We’re looking for someone with strong insurance knowledge, analytical and problem-solving skills, excellent attention to detail, and strong MS Excel skills.

Main Responsibilities

Analyze US non-life insurance data, including property, policy, coverage, and location information.

Clean and validate addresses, ZIP codes, property details, and geographic data.

Prepare insurance data for Catastrophe (CAT) Modeling.

Analyze property exposure to hurricanes, tornadoes, earthquakes, floods, and severe storms.

Identify risk concentrations and potential losses across different US states and locations.

Review CAT modeling results and prepare risk, exposure, and portfolio reports.

Perform data quality checks and investigate data issues.

Work with large datasets to identify trends, risks, and data errors.

Coordinate with clients, underwriters, and internal teams to resolve data and technical issues.

Help improve processes through automation, documentation, and efficiency improvements.

Qualifications

Minimum 2 years of experience in US Non-Life Insurance, such as Property, Commercial Insurance, Homeowners, or related areas.

Experience in CAT Modeling, Exposure Management, Insurance Risk Analysis, Underwriting, or Insurance Data Analysis.

Strong understanding of US geography, including states, cities, ZIP codes, addresses, and property locations.

Experience handling insurance policy, property, coverage, and location data.

Experience with data cleansing, data validation, geocoding, and data accuracy checks.

Strong MS Excel skills.

Strong mathematical, analytical, and problem-solving skills with excellent attention to detail.

Bachelor’s/Master’s degree in Mathematics, Statistics, Actuarial Science, Insurance, Engineering, Geography, Data Analytics, or a related field.