Emerging Catastrophe Risk Analyst in London

This role sits within Chaucer’s Exposure Management team, supporting the Emerging Cat Lead with the investigation, monitoring, and development of the emerging catastrophe risks presented to the team, including those introduced via our Innovation & Partnerships Underwriting teams.

The primary purpose of the role is to assist in building, cleansing, organising, monitoring and analysing datasets that support Chaucer’s approach to Liability, Emerging Risks and Casualty catastrophe modelling. This includes co‑ordinating data flows, identifying data gaps, augmenting missing information, and helping shape new processes as new risks and products are introduced.

The role will require regular interaction with Underwriting teams, Exposure Management, and external stakeholders, providing clear communication, structured data output, and proactive insight. This is a hands‑on role for a highly organised, analytical graduate looking to specialise in emerging risks including liability/casualty modelling, working closely with the Emerging Cat Lead to strengthen the company’s understanding of long tail and manmade catastrophe exposure.

• Pulling, cleansing, validating and structuring datasets from various internal and external sources
• Identifying new sources of relevant information and co‑ordinating data capture across teams
• Investigating discrepancies, augmenting missing data, and ensuring completeness and accuracy of Liability & Casualty datasets
• Organising, documenting and maintaining well‑structured data repositories and supporting methodological documentation
• Supporting the development of new processes as new risks, products, or initiatives are written
• Assisting the Emerging Cat Lead with the monitoring, analysis and investigation of Liability, Casualty and other Emerging Cat exposures
• Helping prepare datasets for emerging risk analysis, stress testing and scenario exploration
• Displaying data clearly through dashboards, visualisation, summaries and presentations
• Working collaboratively with Underwriting teams to understand their exposure, processes and monitoring requirements, and identifying where Exposure Management can provide analytical or data support
• Presenting information confidently to stakeholders, requesting missing data and explaining requirements clearly
• Participating in wider Exposure Management activities, including projects, process improvement, and research into emerging trends
• Keeping up to date with developments in liability, casualty, cyber and other non‑natural catastrophe fields

• Supporting the Property Treaty team at peak renewal periods when required
• From time to time, taking part in relevant projects through the wider business
• Keeping up to date with new science and technological developments in the Catastrophe Management field
• Performing other related duties to meet the on‑going needs of the organisation

• Understanding of the London (re)insurance market
• Exposure to analytical, data‑driven or research‑focused roles (university projects acceptable)
• Interest in Liability, Casualty, Cyber or other man‑made catastrophe risks
• Experience working with datasets or conducting structured research

• Strong numeracy skills and analytical ability
• Excellent attention to detail in a data‑heavy environment
• Highly organised, with the ability to manage competing tasks
• Confident communicator, able to interact with Underwriters and other stakeholders
• Comfortable presenting data clearly and articulating insights
• Strong written skills for documentation and research summaries
• Good knowledge of Microsoft Excel
• Proactive mindset with willingness to investigate data gaps and improve processes
• Ability to co‑ordinate work across multiple teams

• Interest in casualty or liability catastrophe modelling frameworks (e.g., Arium / Praedicat)
• Understanding of statistical methodologies or catastrophe modelling concepts
• Experience with SQL, Python, R or other data tools
• Knowledge of insurance terminology, policy structures or liability risk drivers
• Familiarity with data visualisation tools

• Educated to degree level or equivalent preferred but not essential for an excellent candidate

• Willingness to use initiative to solve problems with a passion for continuous improvement
• Attention to detail in a data intensive environment
• Excellent communications skills with the ability to present complex information clearly and concisely
• Good interpersonal and influencing skills with the ability to build effective relationships
• Professional attitude to meeting deadlines and objectives
• Highly motivated and prepared to go the extra mile

Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment. We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.