We are looking for a Catastrophe Modeling Analyst to quantify catastrophe risk inward reinsurance contracts by analyzing exposure data and catastrophe model outputs. This role combines core catastrophe modeling work with data science/ML techniques (e.g., similarity scoring, clustering) to improve data quality and produce decision-ready insights.
Key Responsibilities
- Run third-party catastrophe models to estimate catastrophe risk for cedents/reinsurance submissions
- Validate, justify, and explain model outputs to ensure accuracy and reasonableness
- Produce exposure reports that summarize cedent catastrophe exposure clearly
- Support catastrophe pricing for reinsurance submissions with minimal supervision
- Apply ML methods (similarity scoring, clustering) to clean, align, and analyze large exposure datasets
- Deliver concise analytics outputs: written summaries, dashboards (Power BI or similar), and reproducible notebooks (Python/R)
Qualifications / Requirements
- Strong analytical skills: intermediate Excel + practical Python and/or SQL (R optional)
- Experience working with large, complex datasets and applying ML techniques to support data quality/alignment
- Strong attention to detail and organizational discipline
- Strong communication skills and ability to explain outputs to non-technical stakeholders
- Basic knowledge of insurance/reinsurance terminology and interest in catastrophe modeling
- Flexible and able to learn new processes quickly
- Willing to work outside normal office hours during peak season (evenings/weekends/holidays)
- Nice-to-have: Power BI/data visualization, exposure to ETL/pipelines/warehousing, report/process automation
Education
- Graduate of a quantitative course (preferred: Mathematics, Actuarial Science, Computer Science, IT, Physical Sciences, Engineering)
