Catastrophe Risk - Property Analyst

Chaucer; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading insurance group in London is seeking an Analyst for its Exposure Management Team. The Analyst will focus on catastrophe risk modelling, providing insights for underwriting and pricing. Responsibilities include using modelling platforms, analyzing exposure data, and supporting property renewal periods. Ideal candidates should have strong numeracy, analytical skills, and proficiency in Microsoft Excel. A degree is preferred, alongside a collaborative approach to work. The role promotes diversity and offers flexible working arrangements.

Qualifications

• Willingness to work across different teams and continuously learn and adapt.
• Direct experience with analysing and pricing catastrophe risk.
• Previous experience in the (re)insurance industry.

Responsibilities

• Utilising various catastrophe modelling platforms to process, model and analyse aggregate and detailed exposure data.
• Providing analysis to underwriters at both an individual account and portfolio level.
• Creating and producing regular exposure metric reports.

Skills

Willingness to work across different teams

Strong numeracy skills

Analytical abilities

Excellent attention to detail

Effective communication

Education

Educated to degree level preferred

Professional qualifications like ACII, CRM or CCRA

Tools

Microsoft Excel

MS SQL

Job description

Job summary

This role is an Analyst position within Chaucer’s Exposure Management Team, with a specific focus on Chaucer’s Property Direct & Facultative and Binders businesses.

The primary objective of the role is to provide the catastrophe risk modelling service to the Property Underwriting Teams.

This includes day-to-day account modelling for underwriting and pricing using internal and external modelling platforms, analysing and explaining modelled results, monitoring aggregate usage, and maintaining a complete and accurate portfolio of accounts.

The role will also participate in the wider activities of the Exposure Management Team include support for Property Treaty during peak renewal periods.

Main duties

• Utilising various catastrophe modelling platforms to process, model and analyse aggregate and detailed exposure data
• Providing analysis and insight into the model outputs to underwriters at both an individual account and portfolio level
• Monitoring portfolios against risk appetite measures
• Assisting the Senior Property analyst in maintaining an in-force portfolio and ensuring the completeness and accuracy of the data and results
• Working closely with underwriters on a daily basis to understand their priorities and manage their expectations accordingly
• Create and produce regular exposure metric reports
• Assisting Senior Property analyst in adhoc requests

Additional duties

• Participating in the wider activities of the Exposure Management Team
• From time to time, taking part in relevant projects throughout 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

Relevant experience

Essential

• Willingness to work across different teams and continuously learn and adapt

Desirable

• Direct experience with analysing and pricing catastrophe risk
• Previous experience in the (re)insurance industry

Technical skills

Essential

• Strong numeracy skills with a good understanding of probability and statistics
• Analytical abilities coupled with excellent attention to detail
• Ability to communicate effectively
• Strong written and oral communication skills
• Strong knowledge of Microsoft Excel and MS SQL

Desirable

• Strong understanding of insurance and reinsurance financial terms
• Proficient in using at least one vendor catastrophe platform
• Understanding of the statistical methodologies underlying catastrophe models
• Knowledge of GIS and/or other mapping software
• Knowledge of or interest in programming languages, including R and Python

Education & Experience

Desirable

• Educated to degree level preferred but not essential for an excellent candidate
• Other relevant professional qualifications such as ACII, CRM or CCRA

Personal skills

• Willingness to use initiative to solve problems
• 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

ABOUT US

Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups.

Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website.

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.