Position: Data Science & Catastrophe Modeling Analyst
Job ID:		41030

	
Responsibilities:
·  Apply data science techniques to enhance catastrophe modeling, exposure management, and risk assessment.
·  Work with catastrophe models (e.g., RMS, AIR, CoreLogic) to support underwriting and portfolio optimization.
·  Develop and refine data pipelines, dashboards, and analytics tools to improve risk analysis and decision-making.
·  Collaborate with underwriting and actuarial teams to integrate model outputs into pricing and risk selection.
·  Utilize machine learning and statistical models to improve predictive insights on catastrophe risk.
·  Perform data cleansing, transformation, and analysis to support exposure management.
·  Stay updated on industry trends, emerging technologies, and regulatory developments in catastrophe risk.


Qualifications:

·  Strong programming skills in Python, R, SQL, or similar languages for data analysis and modeling.
·  Experience with catastrophe modeling software (RMS, AIR, CoreLogic) is highly desirable.
·  Knowledge of insurance, reinsurance, or risk management principles is a plus.
·  Strong problem-solving skills and the ability to translate complex data into actionable insights.
·  Excellent communication skills to present findings to both technical and non-technical stakeholder

-->SALARY:  90-130k