Technical Business Analyst – Underwriting Analytics

Role overview

Location and work pattern

• London, United Kingdom; four days a week in the office with hybrid working.

Business and technical analysis

• Lead workshops and document underwriting processes, business rules, user stories, and acceptance criteria.
• Translate needs into requirements for analytics, ML, and GenAI solutions; profile insurance data using SQL and Python.
• Create source-to-target mappings, data dictionaries, and KPI definitions; define data product needs with engineering teams.
• Shape underwriting analytics and AI use cases, including triage, risk scoring, pricing, portfolio monitoring, document extraction, and copilots.

Delivery and stakeholder work

• Own and refine the client backlog, participate in Agile ceremonies, define test scenarios, lead UAT, and validate model outputs, rules, and dashboards.
• Coordinate with offshore teams, support adoption through training and user guides, and track usage and outcome metrics.
• Communicate progress, findings, and risks; contribute to discovery, proposals, and reusable practice assets.

Essential experience

• 5–8 years as a Business Analyst or Technical Business Analyst, including at least 3 years in insurance underwriting, pricing, or portfolio analytics.
• Strong understanding of commercial, specialty, or personal lines underwriting workflows.
• Hands-on SQL and Python; BI tools such as Power BI or Tableau; and cloud platforms such as Databricks, Snowflake, Azure, AWS, or GCP.
• Experience with process mapping, user stories, source-to-target mapping, ML/AI projects, Agile teams, and offshore delivery.

Desirable qualifications and experience

• London Market, Lloyd’s, or MGA experience; delegated authority and bordereaux data; underwriting platforms such as Guidewire, Duck Creek, Sapiens, Radar, or Earnix.
• Third-party enrichment data experience and relevant certifications are desirable; the source description is truncated during the degree qualification.

About EXL

Employment