Underwriting Analyst

Company: Simply Business
Apply for the Underwriting Analyst
Location: London
Job Description:

Overview

In this role you drive data-driven underwriting decisions within the MGA team in London, shaping underwriting strategy for a fast-growing tech-enabled insurer. You’ll work with capacity providers, finance, and data engineering to influence performance, reserves, and profit sharing, while modernising underwriting tech and mentoring junior colleagues. You’ll present trends to senior leadership and external partners, turning analytics into actionable business impact. This role offers strategic visibility beyond traditional analytics and a chance to help protect small businesses at scale.

Pay / Benefits

  • hybrid work arrangement
  • 25 days annual leave + option to buy 5 extra days
  • flexible parental leave with pay
  • private medical insurance (BUPA)
  • pension with employer match up to 5%
  • life assurance 4x salary

Responsibilities

  • Evaluate product metrics to identify trends in claims and sales performance
  • Design and maintain self-service data tools for the MGA team
  • Prepare monthly management information and performance reports for external capacity providers
  • Calculate reserving requirements and profit share metrics with finance
  • Collaborate with data engineering to ensure data quality and timeliness
  • Translate analytical findings into actionable recommendations and coach juniors

Key requirements

  • Experienced in insurance data analytics with a solid understanding of underwriting metrics
  • Proficient with SQL, Excel, and data visualization tools (Tableau or Power BI)
  • Ability to handle large datasets and identify anomalies with attention to detail
  • Strong communication skills to explain complex concepts to non-technical stakeholders
  • Self-motivated, collaborative, and able to coach team members and build cross-team relationships
  • Progressing towards or has completed relevant qualifications (CII, Actuarial, or Master’s in Data Analytics or Statistics)
  • Diversity and inclusion oriented; open to candidates from varied backgrounds
  • strong communication
  • attention to detail
  • collaboration
  • SQL
  • Excel
  • Tableau

…

Posted: October 1st, 2026