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Junior Underwriting Analyst

Taylor James ResourcingLondon, UK🇬🇧United KingdomPosted 14 Oct 2026

Why This Role Stands Out

This hybrid Junior Underwriting Analyst role offers fantastic career growth within the prestigious Lloyd's insurance market, providing you with the chance to hone your data analysis and coding skills with competitive compensation. If you have a strong background in data analysis and enjoy developing innovative solutions, you'll thrive in this dynamic environment supporting a leading underwriting team. Apply today to launch your exciting career journey!

Quick Overview

Salary
£35k - £39k/yr
Seniority
Junior
Employment type
Full Time
Work mode
Hybrid
Location
London, UK, United Kingdom
Posted
Yesterday
SQLPython

Job Description

Junior Underwriting Analyst £35,000-£39,000

For a graduate with a strong data analysis or data science/coding background this could be an excellent opportunity to develop their career within The Lloyd's insurance market. Some exposure to the Loyd's insurance market would be beneficial but not essential.

Experience working with large, complex datasets, and querying these using SQL and Python and/or R is required

The Junior Underwriting Analyst will be supporting a leading Underwriting team with developing, enhancing and managing their processes through technology, automation and data analysis.

The successful candidate will be tasked with building robust, scalable and efficient data processes, integrating internal and external systems, automating workflows and creating innovative solutions that enhance underwriting decision-making.

They will be expected to identify opportunities for improvement, challenge existing processes and build practical solutions that improve the quality, accessibility and utilisation of underwriting data.

Duties include:

Act as the primary technical resource for underwriting technology development and innovation.

Develop analytical applications and tools using Python, SQL, Visual Studio and AI.

Support the business with ad-hoc data queries and extracts.

The role involves managing data processes, collaborating with multiple teams, and using internal systems.

Supporting the team with 'business-as-usual' tasks.

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