Catastrophe Risk Analyst

SageSure•Jersey City, NJ

1d•Remote

About The Position

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Catastrophe Risk Analyst. In this role, you’ll play a critical part in advancing the scientific, statistical, and model-based understanding of catastrophe risk across perils such as hurricanes, earthquakes, wildfires, floods, and severe convective storms. You’ll support the development and evaluation of catastrophe models, enhance internal risk views, and deliver insights to inform underwriting, portfolio management, and reinsurance strategy.

Requirements

Advanced degree (Master’s or PhD) in Atmospheric Science, Earth Science, Hydrology, Structural Engineering, Applied Mathematics, Statistics, or a related quantitative field.
32–5 years of experience in catastrophe modeling, natural hazard risk research, insurance analytics, or a related discipline.
Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR, etc.).
Strong coding and data analysis skills (e.g., Python, R, SQL).
Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS).
Familiarity with stochastic simulation, probabilistic risk modeling, and quantitative methods.
Excellent problem-solving, critical thinking, and communication skills.
Ability to explain complex scientific or quantitative findings to non-technical audiences.
Strong team player with a collaborative mindset and attention to detail

Nice To Haves

Experience working within (re)insurance, ILS, consulting, or catastrophe model vendor environments.
Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR, etc.).
Exposure to catastrophe model evaluation, event response analysis, or climate risk integration.
Demonstrated interest in catastrophe modeling, risk analytics, or climate-driven hazard research.

Responsibilities

Evaluate third-party catastrophe models (e.g., RMS, Verisk, CoreLogic) and contribute to the development of internal risk assessments.
Analyze large datasets (e.g., exposure data, claims data, hazard data) to assess model performance, validate assumptions, and identify opportunities for improvement.
Conduct claims analysis, event response, and post-event analytics.
Support the integration of climate science and emerging research into catastrophe risk modeling and analytics.
Collaborate with internal teams (underwriting, actuarial, reinsurance, risk, and data science) to apply research findings to real-world business decisions.
Design and implement analytical tools or frameworks that improve model transparency, interpretability, and efficiency.
Monitor and interpret academic, regulatory, and industry developments related to catastrophe risk modeling and analytics.
Ad hoc job duties as assigned.