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r sql python gis arcgis📋 Description
- Advance scientific, statistical, model-based catastrophe risk analysis across perils.
- Support development and evaluation of catastrophe models and risk views.
- Deliver insights to underwriting, portfolio management, and reinsurance.
- Collaborate with underwriting, actuarial, reinsurance, risk, and data science teams.
- Analyze large datasets to assess model performance and identify improvements.
- Monitor climate risk developments and regulatory changes in the field.
🎯 Requirements
- Advanced degree in Atmospheric Science, Hydrology, Earth Science, Engineering, or math.
- 5+ years in catastrophe modeling or natural hazard risk research.
- Proficiency with RMS, Verisk, or AIR catastrophe modeling platforms.
- Strong coding and data analysis skills: Python, R, SQL.
- Experience with GIS tools (ArcGIS, QGIS) and geospatial data.
- Excellent communication and cross-functional collaboration.
🎁 Benefits
- Distributed workforce across 12 U.S. offices.
- Named among Best Places to Work in Insurance (2020-2023).
- Equal Opportunity Employer promoting inclusion.
- Opportunities to work with leading catastrophe risk research.
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