Specialty Analyst (PV, PR, CR)

This analyst position is within the Exposure Management function, focusing on Political Violence and Political / Credit Risk classes of business. The role supports underwriting by capturing, cleansing and structuring exposure data for use in modelling and aggregation tools, monitoring accumulations, and assessing risk against the company's appetite.

Responsibilities

• Capture, cleanse and structure Political Violence and Political / Credit Risk exposure data into formats suitable for aggregation and modelling tools.
• Review underwriting submissions and supporting information, liaising with underwriters and brokers to obtain required exposure data.
• Ensure the completeness, accuracy and consistency of exposure data used within modelling and reporting processes.
• Monitor Political accumulations against defined risk appetite and highlight areas of concern.
• Produce management information, reports and analytical outputs to support underwriting decision‑making and portfolio management.
• Investigate data discrepancies and resolve data quality issues across systems and datasets.
• Support the use and validation of aggregation and modelling tools used for Political lines.
• Assist in the development and enhancement of processes, tools and methodologies for managing Political exposures.
• Work closely with underwriters to understand portfolios, priorities and evolving risk exposures.
• Support reporting requirements for internal stakeholders, committees and external regulatory returns where required.
• Document processes, controls and methodologies and keep them up to date.
• Collaborate with senior team members to deliver against team priorities and deadlines.
• Participate in wider Exposure Management Team activities and relevant projects as requested.

Qualifications

• Understanding of the London (re)insurance market.
• Experience with datasets or conducting structured research; strong numeracy 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 stakeholders and present data clearly.
• 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 coordinate work across multiple teams.
• Desirable: Understanding of statistical methodologies or catastrophe modelling concepts.
• Desirable: Experience with SQL, Python, R or other data tools.
• Desirable: Knowledge of insurance terminology and policy structures.
• Desirable: Familiarity with data visualisation tools.
• Education to degree level preferred but not essential for an excellent candidate.
• Willingness to use initiative to solve problems with a passion for continuous improvement.
• Professional attitude to meeting deadlines and objectives.
• Highly motivated and prepared to go the extra mile.

EEO Statement

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 ensures we select the right person for the job, based on merit.