EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth at speed. We harness the power of data, AI and deep industry knowledge to transform businesses, working with the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
Headquartered in New York, our team is over 63,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
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 & RequirementsLead 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)
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
As part of a leading global data and artificial intelligence ("AI") company, you can look forward to:
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies.
As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
To be considered for this role, you must already be eligible to work in the United Kingdom.
Skills Required
- 5–8 years of experience as a Business Analyst or Technical Business Analyst
- At least 3 years of experience in underwriting, pricing, or portfolio analytics within insurance
- Strong understanding of underwriting concepts and workflows in commercial, specialty, or personal lines
- Advanced SQL skills and Python experience for data profiling and analysis
- Experience with Power BI or Tableau
- Experience with cloud data platforms such as Databricks, Snowflake, Azure, AWS, or GCP
- Experience with process mapping using BPMN or Visio, user stories, and source-to-target mapping
- Experience on ML or AI projects, including model inputs and outputs, explainability, evaluation, and human-in-the-loop controls
- Experience working in Agile teams using Jira or Azure DevOps
- Confident communication 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 such as Guidewire, Duck Creek, Sapiens, Radar, or Earnix
- Experience with third-party enrichment data, including Dun & Bradstreet, Experian, geospatial, or catastrophe data
- Relevant certification such as CII, IIBA CCBA or CBAP, BCS Business Analysis, or Agile Product Owner
- Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field
- Already eligible to work in the United Kingdom
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
