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 with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including 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.
We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit
Role: Business & Data Analyst – Counterparty Credit Risk (CCR)
BU/Segment: Banking / Analytics
Location: Bristol, United Kingdom (Flexible hybrid working)
Employment Type: Umbrella Contract (Inside IR35) to start ASAP
A leading UK bank is seeking a highly skilled Business & Data Analyst to support complex regulatory and risk initiatives within Counterparty Credit Risk (CCR) and a focus on delivering Basel 3.1–aligned capabilities on the bank's strategic GCP (Google Cloud Platform) environment.
The role acts as the bridge between Risk & Finance stakeholders and the Technical Data Engineering teams, translating analytical, regulatory and business requirements into actionable technical specifications. The candidate will play a central role in designing data mappings, validating end‑to‑end data flows, analysing lineage, executing dry-run RWA calculations, and ensuring high‑quality, timely delivery of risk data solutions.
As part of your duties, you will be responsible for:
* Convert high-level business needs into detailed technical mapping specifications for Data Engineers.
* Investigate data lineage, trace transformations, and validate upstream → downstream flows.
* Analyse large datasets across Derivatives and Non-Derivatives products to identify data gaps and inconsistencies.
* Analyse large datasets across Derivatives and Non-Derivatives products to identify data gaps and inconsistencies.
* Lead complex data mapping analyses for Counterparty Credit Risk (CCR) to migrate the reporting from On-Prem to GCP platform.
* Engage closely with Risk, Finance, Operations, Tech, and Data Engineering teams to gather requirements.
* Facilitate working sessions, clarify logic, and ensure adherence to regulatory expectations.
* Coordinate dry-run cycles of RWA calculations on the GCP strategic platform.
* Support user testing, validation, and sign‑off activities with Risk and Ops teams.
* Qualifications and experience we consider to be essential for the role:
Expert SQL skills with ability to write complex queries, troubleshoot logic, and optimise performance.
* Strong understanding of data modelling, ETL/ELT flows, and data quality assessment.
* Ability to analyse data lineage, source-to-target mappings, and transformation logic.
* Understanding of Counterparty Credit Risk (CCR), OTC Derivatives, EAD, RWA.
* Proven ability to translate complex regulatory requirements into clear technical specifications.
* Experience working with Risk and Finance functions in a banking environment.
* Ability to run workshops, document requirements (BRDs, FRDs, mapping specs), and manage testing cycles.
* Exposure to Agile delivery methodologies.
* Strong analytical mindset with meticulous attention to detail.
* Excellent communicator able to collaborate with both business SMEs and technical engineers.
* Self-driven, proactive, and able to manage competing priorities.
* Comfortable operating in a fast-paced, high‑stakes regulatory environment.
Skills and Personal attributes we would like to have:
* Hands‑on experience with GCP BigQuery.
* Strong understanding of:
o Derivatives (e.g., swaps, options, forwards, futures)
o Non-derivatives (e.g., bonds, repos, securities)
o Exposure calculations, sensitivities, EAD, EEPE, SA‑CCR etc.
* Prior experience in large-scale CCR programmes.
To be considered for this role, you must already be eligible to work in the United Kingdom.