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Junior Catastrophe Analyst

  • Location:

    Chicago

  • Sector:

    Actuarial

  • Job type:

    Permanent

  • Salary:

    US$75000 - US$85000 per annum + Bonus

  • Contact:

    Thomas Knights

  • Contact email:

    Thomas.Knights@oliverjames.com

  • Job ref:

    JOB-032025-273757_1746557823

  • Published:

    about 10 hours ago

  • Expiry date:

    2025-06-05

Join a leading global (re)insurer as a Catastrophe Modeling Analyst. Support underwriters by pricing catastrophe risk across perils like earthquake, hurricane, and terrorism. You'll collaborate with third-party modeling partners, refine data processes, and help shape the company's view of risk. This is a high-impact role across multiple lines of business-ideal for analytical minds passionate about data, modeling, and making a real-world impact in a collaborative environment.

Role Overview:
The Catastrophe Modeling Analyst will provide technical support for catastrophe risk analysis across a variety of perils including natural (e.g., earthquake, hurricane, wildfire) and man-made (e.g., terrorism) risks. The role involves close collaboration with underwriters to evaluate new and renewal business, maintain exposure data accuracy, and support portfolio and post-event loss analysis.

Key Responsibilities:

  • Partner with underwriters to prioritize and deliver timely catastrophe modeling support for quotes and renewals.

  • Analyze model outputs and provide insights into losses and exceedance probability curves for high-profile accounts.

  • Investigate and explain any anomalies in model results and assumptions.

  • Liaise with external modeling service providers to ensure data quality, service standards, and turnaround times are met.

  • Support post-event loss modeling and broader portfolio roll-up and review processes.

  • Work across diverse lines of business including property, energy, marine, and delegated authority.

  • Ensure best practices for exposure data management and modeling workflows.

Requirements:

  • Bachelor's degree in a quantitative or business-related discipline.

  • Strong numeracy, analytical, and organizational skills.

  • Proficient in Microsoft Excel; experience with SQL and Python or R is preferred.

  • Excellent written and verbal communication skills.

  • Interest or background in catastrophe modeling, natural hazards, or political risk is a plus.

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