Underwriting Analyst

Hanover; Greater London; On-site; GBP 42,000 - 64,000; Full time

Job summary

Hanover is looking to hire two Analysts to support their underwriting function, initially focusing on Property reinsurance. This is a broad analytical role working with experienced underwriting and investment professionals across pricing, catastrophe modelling, risk analysis and portfolio analytics.

The successful candidates will show exceptional analytical and technical potential, strong Excel skills and familiarity with Python or another analytical language, with exposure to Verisk/AIR or RMS

Qualifications

• Strong Excel skills and familiarity with Python or another analytical programming language.
• Prior reinsurance experience is valuable but not essential.
• Analytical and technical potential with ability to learn quickly.

Responsibilities

• 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.

Skills

Excel

Python

Data analysis

Underwriting analytics

Tools

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.