ABOUT THE ROLE
The Senior Catastrophe Modeling Analyst will analyze US non-life insurance data, perform data cleansing and validation, prepare information for CAT modeling, assess property exposure, and review modeling results and portfolio reports.
KEY RESPONSIBILITIES
- Analyze US non-life insurance data, including property, policy, coverage, and location information.
- Clean and validate data to ensure accurate addresses, ZIP codes, property details, and geographic information.
- 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 other efficiency improvements.
MUST-HAVE QUALIFICATIONS
- Minimum 2 years of experience in US Non-Life Insurance.
- Experience in CAT Modeling, Exposure Management, Insurance Risk Analysis, Underwriting, or Insurance Data Analysis.
- Strong understanding of US geography.
- Knowledge of hurricanes, tornadoes, earthquakes, floods, and severe storms.
- Experience handling insurance policy, property, coverage, and location data.
- Experience with data cleansing, data validation, geocoding, and checking data accuracy.
- Strong MS Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, and INDEX-MATCH.
- Strong mathematical, analytical, and problem-solving skills with excellent attention to detail.
- Bachelor’s or Master’s degree in Mathematics, Statistics, Actuarial Science, Insurance, Engineering, Geography, Data Analytics, or a related field.
NICE-TO-HAVE QUALIFICATIONS
- Experience with RMS, AIR/Touchstone, Verisk, or similar CAT modeling software.
- Experience with Power BI, SQL, Python, or VBA.