Overview In this role you will advance scientific and model-based understanding of catastrophe risk across perils like hurricanes, earthquakes, and floods. You will support internal risk views, inform underwriting and reinsurance strategy, and collaborate with cross-functional teams to apply research findings. You'll integrate climate science and new methodologies into risk analytics and raise model transparency. This is a chance to shape how SageSure assesses and manages catastrophe risk at scale.
Responsibilities- Evaluate third-party catastrophe models (RMS, Verisk, CoreLogic) and contribute to internal risk views
- Analyze large datasets (exposure, claims, hazard) to assess model performance and identify improvements
- Conduct claims analysis, event response, and post-event analytics
- Support integration of climate science and emerging research into catastrophe risk analytics
- Collaborate with underwriting, actuarial, reinsurance, risk, and data science teams to apply research to business decisions
- Design and implement tools, frameworks, or methodologies to improve model transparency and interpretability
- Monitor and interpret academic, regulatory, and industry developments in catastrophe risk science and modeling
- Ad hoc duties as assigned
Key requirements- Advanced degree (Master's or PhD) in a quantitative field
- 5+ years of experience in catastrophe modeling or related analytics
- Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR)
- Strong coding and data analysis skills (Python, R, SQL)
- Experience with geospatial data and tools (GIS, QGIS, ArcGIS)
- Familiarity with stochastic simulation and probabilistic risk modeling
- Strong critical thinking, problem-solving, and research skills
- Excellent communication skills for non-technical audiences
- Proven ability to work collaboratively in cross-functional, research-driven environments
- Strong communication
- Collaborative mindset
- Critical thinking
- Catastrophe modeling platforms (RMS, Verisk, AIR)
- Python, R, SQL
- Geospatial tools (GIS, QGIS, ArcGIS)
