Technical Business Analyst – Underwriting Analytics
- Compensation
- Not disclosed
- Location
- London, England, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Business analysis
- Posted
Skills
Nice to have
- 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
Full description
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 .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