Insurance Data, Analytics & AI Tech BA (Hybrid)

ExlService Holdings, Inc.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Bonus

Private healthcare

Critical illness cover

Income protection

Pension

Cycle scheme

ESPP

Hybrid working

Job summary

EXL (NASDAQ: EXLS) seeks a Technical Business Analyst—Insurance Data, Analytics & AI in London, hybrid; 4 days in the office. You will translate underwriting problems into clear requirements, design data solutions, and bridge client teams with offshore data science and engineering groups.

The role requires 5–8 years of BA experience, expertise in SQL/Python, BI tools, cloud platforms, and strong communication. UK work eligibility is essential.

Qualifications

• 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
• Experience working in Agile teams using Jira or Azure DevOps
• Confident communicator who can work with underwriters and engineers
• Experience working with offshore delivery teams
• 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

Responsibilities

• 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
• 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
• 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
• 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)

Skills

Business Analysis

Underwriting analytics

SQL

Python

Power BI

Tableau

Jira / Azure DevOps

Communication

Agile

Stakeholder management

Education

Degree in Mathematics/Statistics/Economics/Computer Science/Engineering

Tools

Databricks

Snowflake

Azure

AWS

GCP

Guidewire

Duck Creek

Sapiens

Radar

Earnix

Job description

EXL (NASDAQ: EXLS) seeks a Technical Business Analyst—Insurance Data, Analytics & AI in London, hybrid; 4 days in the office. You will translate underwriting problems into clear requirements, design data solutions, and bridge client teams with offshore data science and engineering groups.

The role requires 5–8 years of BA experience, expertise in SQL/Python, BI tools, cloud platforms, and strong communication. UK work eligibility is essential.