Catastrophe Modeling Expert

2 weeks ago


Philadelphia, Pennsylvania, United States Chubb Full time

Catastrophe Modeling Role Overview

The Catastrophe Modeling Analyst will be responsible for analyzing and quantifying Chubb's North America Commercial Excess and Surplus exposure to natural catastrophe perils such as Hurricane, Earthquake, Severe Convective Storm, Flood, and Wildfires.

This involves creating datasets from various data sources, performing analyses using multiple models and aggregation tools, and communicating results to senior management.

A successful candidate will have the ability to work in a time-bound and multiple stakeholder environment, prioritizing multiple projects concurrently and working both independently and as part of a team in cross-functional projects.

The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business, including Underwriting, Actuarial, and Ceded Re.

Key Qualifications

  • 1-3 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling.
  • Experience with Commercial Property Insurance and understanding of complex terms and conditions, and the ability to code and model these structures accurately.
  • Advance CAT model operating skills using third-party catastrophe modeling software, RiskLink experience preferred.
  • Ability to manipulate large data sets with strong Excel and SQL skills. Other programming languages such as Python and/or R would be beneficial.
  • Highly numerate and logical - strong mathematical/statistical knowledge is key.
  • Strong communication skills - must have the ability to summarize and present highly complex and quantitative analyses and concepts to business stakeholders.
  • Organized with attention to detail. Must be able to manage multiple timelines and deliverables while ensuring the highest quality of work to meet deadlines.
  • Bachelor's Degree in a quantitative field of study, such as mathematics, computer science, or physical sciences.


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