Role Title: Technical Business Analyst - Insurance Data, Analytics & AI

BU/Segment: Analytics & AI Services - Insurance

Location: London, United Kingdom (4 days a week in the office - hybrid working)

Employment Type: Permanent

Summary of the role:

We are looking for an onshore Technical Business Analyst to sit at the intersection of underwriting, data and AI on client engagements with UK insurers, translating underwriting problems into clear requirements, data designs and solutions that our delivery teams can build.

This is a hands-on, client-facing role. You will work directly with underwriters, underwriting managers and portfolio teams, get into the data yourself, and act as the onshore bridge to our offshore data science and engineering teams.

Key responsibilities:

Business Analysis & Requirements

Lead workshops with underwriters, pricing and portfolio management to understand the underwriting lifecycle (submission intake, triage, risk assessment, referral, quote, bind and renewal)
Document current- and target-state processes, business rules (appetite, referral authorities, rating rules), user stories and acceptance criteria
Translate business needs into functional and non-functional requirements for analytics, ML and GenAI solutions

Data & Technical Analysis

Profile and analyse policy, quote, exposure, claims and third-party data using SQL and Python to test hypotheses and assess data quality
Produce source-to-target mappings, data dictionaries and KPI definitions (e.g. GWP, loss ratio, rate change, quote and hit ratios, referral and STP rates)
Define data product requirements and work with data engineers on pipelines and models, keeping scope to what each use case actually needs
Shape underwriting use cases such as submission triage, risk scoring, pricing adequacy, portfolio monitoring, document extraction and underwriter copilots

Delivery & Quality

Own and refine the backlog with the client Product Owner, and take an active part in Agile ceremonies
Define test scenarios, lead UAT with underwriters, and validate model outputs, rules and dashboards against business expectations
Act as the onshore link to offshore teams: clarify requirements, review outputs and manage hand-offs across time zones
Support adoption through training material, user guides and tracking of usage and outcome metrics

Stakeholder & Practice Contribution

Communicate findings, progress and risks clearly to client stakeholders and the engagement lead
Contribute to discovery phases, proposals and reusable assets (requirement templates, underwriting data models, KPI libraries)

Qualifications and experience we consider essential:

5–8 years as a Business Analyst or Technical BA, with at least 3 years in underwriting, pricing or portfolio analytics within insurance
Strong understanding of underwriting concepts and workflows in commercial, specialty or personal lines
Hands-on technical skills across:
SQL (advanced) and Python for data profiling and analysis
BI and visualisation tools (Power BI or Tableau)
Cloud data platforms (Databricks, Snowflake, Azure, AWS or GCP)
Process mapping (BPMN / Visio), user stories and source-to-target mapping
Experience on ML or AI projects, with a practical grasp of model inputs and outputs, explainability, evaluation and human-in-the-loop controls
Experience working in Agile teams using Jira or Azure DevOps
Confident communicator who can work equally well with underwriters and engineers
Experience working with offshore delivery teams

Desirable:

London Market, Lloyd’s or MGA experience, including delegated authority and bordereaux data
Familiarity with underwriting and rating platforms (e.g. Guidewire, Duck Creek, Sapiens, Radar, Earnix)
Experience with third-party enrichment data (e.g. Dun & Bradstreet, Experian, geospatial and catastrophe data)
Relevant certifications (CII, IIBA CCBA / CBAP, BCS Business Analysis, Agile Product Owner)
Degree in Mathematics, Statistics, Economics, Computer Science, Engineering or a related field

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