Lead Underwriting Data Analyst (12 month FTC)

Chaucer; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance group in the UK is seeking an experienced Lead Underwriting Data Analyst to support their transformation initiatives. You will shape and prioritize analytical use cases to enhance decision-making and operational efficiency within the underwriting domain. The ideal candidate will have a strong background in data analysis, excellent stakeholder management skills, and a degree in a related field. This role offers an opportunity to work in a dynamic and diverse environment, contributing to impactful data solutions.

Qualifications

• Excellent understanding of underwriting processes and terminology within the London Market or Commercial & Specialty Insurance.
• A good understanding of data platforms and reporting ecosystems.
• Demonstrated ability to translate business needs into technical requirements.

Responsibilities

• Conduct hands-on analysis across the underwriting journey.
• Collaborate with Data Engineering and Analytics teams.
• Identify and resolve data quality issues impacting underwriting analysis.

Skills

Understanding of underwriting processes

Stakeholder management

Data governance

Data quality

Agile methodology

Education

Bachelor's degree

Industry certifications in business analysis or insurance

Job description

Job Profile Summary

We are seeking an experienced Lead Underwriting Data Analyst with deep expertise in data analysis across the underwriting journey within the London Market / Commercial & Specialty Insurance domain.

As Lead Underwriting Data Analyst, you will play a critical role in enabling Chaucer’s Transformation Office and supporting the rollout of the new data platform. You will be responsible for shaping and prioritising data use cases that deliver measurable business value, working across key underwriting touchpoints such as submission insights, automated triage, and tooling enhancement.

You will work closely with the Underwriting Pillar within the Transformation Office to support data-driven decision-making and operational efficiency. This role acts as a strategic interface between underwriting stakeholders and data delivery teams, ensuring that platform outputs are actionable, impactful, and continuously evolving.

Key Responsibilities

Underwriting Data Analysis & Insight Design

• Conduct hands‑on analysis across the underwriting journey, including submission volumes, triage outcomes, quote activity, and post‑bind performance.
• Translate underwriting needs into clear analytical requirements for the Data Platform and Analytics teams to develop scalable, repeatable insights.
• Build prototypes and exploratory analyses to validate use cases and guide development.

Collaboration with Data Platform & Analytics Teams

• Work closely with Data Engineering and Analytics teams to define data structures, metrics, and visualisation requirements.
• Provide detailed specifications and feedback to ensure data products meet underwriting needs and are embedded into tooling and workflows.
• Participate in sprint planning and backlog grooming to prioritise underwriting‑related data work.

Enablement of Underwriting Tooling & Data Flows

• Partner with the architecture team to support data analysis and ensure robust, scalable data flows are designed and implemented to enable new and enhanced underwriting tools.
• Collaborate with technical teams to align data sources, ingestion logic, and transformation processes with underwriting use cases, ensuring seamless integration into the data platform.
• Validate data integration and performance to confirm that tooling outputs are accurate, timely, and fit for underwriting decision‑making and operational use.

Strategic Partnership & Alignment

• Collaborate with the Pricing team to ensure data consistency and shared understanding across underwriting and pricing domains.
• Partner with the Underwriting Pillar within the Transformation Office to support strategic initiatives through data.
• Contribute to the delivery of data‑driven change programmes by providing analytical input and tooling support.

Data Quality & Governance

• Identify and resolve data quality issues impacting underwriting analysis and tooling.
• Contribute to metadata, documentation, and lineage tracking for underwriting datasets.
• Ensure compliance with Chaucer’s data governance standards and support continuous improvement of data assets.

Skills and Competencies

Essential

• Excellent understanding of underwriting processes and terminology within the London Market or Commercial & Specialty Insurance.
• A good understanding of data platforms, data transformation, and reporting ecosystems.
• Excellent stakeholder management and communication skills, with the ability to navigate complex business and technical landscapes.
• Demonstrated ability to translate business needs into technical requirements and product outcomes.
• Comfortable working in agile or iterative delivery environments.
• Familiarity with data governance, data quality, and modern data technologies is a plus.

Education

• Bachelor’s degree; industry certifications in business analysis or insurance domain preferred.

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.