Added
9 hours ago
Type
Full time
Salary
Salary not provided
Related skills
r sql python gis arcgisπ Description
- Evaluate third-party catastrophe models (RMS, Verisk, CoreLogic) and inform risk views.
- Analyze large datasets (exposure, claims, hazard) to assess model performance.
- Conduct claims analysis, event response, and post-event analytics.
- Support climate science integration into catastrophe risk analytics.
- Collaborate with underwriting, actuarial, reinsurance, risk, and data science teams.
- Design tools and frameworks to improve model transparency.
π― Requirements
- Advanced degree (Master's or PhD) in Atmospheric Science, Hydrology, Earth Science, Engineering, Applied Math, or Statistics.
- 5+ years in catastrophe modeling, natural hazard research, or insurance analytics.
- Proficiency with RMS, Verisk, or AIR catastrophe modeling platforms.
- Strong coding and data analysis skills: Python, R, SQL.
- Experience with geospatial data/tools (GIS, ArcGIS, QGIS).
- Excellent communication and cross-functional collaboration.
π Benefits
- Distributed workforce across 12 offices nationwide.
- Equal Opportunity Employer committed to inclusion.
- Opportunities to influence catastrophe risk modeling and strategy.
- Career growth in technology and data science.
- Recognized as a Best Place to Work in Insurance (2020-2023).
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