Catastrophe Modeler – Treaty Reinsurance

Title

Location –

Overview

We are seeking experienced Catastrophe (CAT) Modelers with 3–7 years of treaty experience, proficient in using RMS and/or Moody’s AIR tools to build and interpret natural catastrophe models. The ideal candidate should have a deep understanding of (re)insurance treaty terms, the ability to accurately read slips, and strong data analysis skills to support treaty underwriting. Strong judgment and critical thinking are essential to assess the reasonableness of model outputs and provide actionable insights to underwriting and risk teams.

Key Responsibilities

• Receive and review submissions from brokers / underwriters.
• Import data into models and ensure accuracy of input data.
• Run simulations and analyze loss results within (re)insurance program layers.
• Assess and validate the reasonableness of model outputs and results.
• Interpret (re)insurance terms, including subject business and inuring order, within the modeling process.
• Send the output to pricing engine, then prepare and deliver exposure profiles and model outputs to the underwriters.
• Collaborate with global teams to ensure consistency and quality of modeling and reporting.
• Support the pricing process by providing timely and accurate model results.

Required Skills and Experience

• 3–7 years of hands-on experience in catastrophe modeling with treaty and (re)insurance, preferably at a (re)insurance carrier or a major broker.
• Proficient in using RMS/Moody’s catastrophe modeling platforms.
• Strong understanding of (re)insurance treaty structures, terms, and modeling implications.
• Ability to read and interpret (re)insurance slips and contracts.
• Proficient in exposure data cleansing, formatting, and validation.
• Analytical mindset with attention to detail and problem-solving skills.
• Effective communication skills to interact with stakeholders e.g., Underwriters, Brokers, and global teams.
• Bachelor’s or a master’s degree in a quantitative field (e.g., Engineering, Mathematics, Statistics, Actuarial Science, or similar).

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