Catastrophe Modelling Analyst

Hanover; Greater London; On-site; GBP 38,000 - 58,000; Full time

Job summary

Hanover is seeking two Analysts to support its underwriting function with a focus on Property reinsurance. You will work closely with underwriting and investment professionals across pricing, catastrophe modelling, risk analysis and portfolio analytics.

This role emphasizes strong analytical capabilities, data handling, and the development of independent underwriting analysis using Excel and Python, with familiarity to Verisk/AIR or Moody's RMS valued.

Qualifications

• Strong analytical abilities with data-driven mindset.
• Proficiency in Excel and Python or similar analytical language.
• Experience in underwriting or reinsurance is a plus but not required.

Responsibilities

• Assist with pricing Property reinsurance opportunities and related risks.
• Analyze submission data, history, exposure, and terms to assess risk/return.
• Support catastrophe modelling and portfolio analytics using industry tools.

Skills

Analytical thinking

Problem solving

Data analysis

Communication

Tools

Python

Excel

Verisk/AIR

Moody's RMS

Job description

Our client is looking to hire two Analysts to support their growing underwriting function, with an initial focus on Property reinsurance. This is a broad analytical role within a lean team, working directly with experienced underwriting and investment professionals across pricing, catastrophe modelling, risk analysis and portfolio analytics. The role will include a variety of product lines, incl traditional reinsurance, retro, ILS, ILWs etc.

Prior reinsurance experience is valuable but not essential.

We are looking for exceptional analytical and technical potential: people who can learn quickly, work carefully with data and develop into increasingly independent underwriting analysts.

The work will include:

• Support the analysis and pricing of Property reinsurance opportunities, including treaty reinsurance and more structured risks.
• Analyse submission data, historical loss experience, exposures and contract terms to help develop a clear view of risk and return.
• Assist with catastrophe modelling, exposure analysis, scenario testing and portfolio aggregation, including work in Verisk/AIR and Moody's RMS where relevant.
• Build clear underwriting analysis and decision materials, with assumptions, sensitivities and key risk drivers made explicit.
• Support the underwriting team through renewals and the downstream life of risks, including portfolio monitoring and event response.
• Build and improve analytical tools and workflows using Excel, Python and modern AI-assisted development tools.

This is first and foremost an analytical hire. We care more about the quality, technical aptitude and trajectory of the individual than a rigid amount of experience. We want strong Excel skills and familiarity with Python or another analytical programming language. We value exposure to Property reinsurance pricing, catastrophe modelling or tools such as Verisk/AIR or Moody's RMS.

We would like the successful candidates to start as soon as practicable. Immediate availability or a one-month notice period would be particularly helpful for the 1 January 2027 Property renewal, although we are willing to wait up to three months for exceptional candidates.