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 www.exlservice.com. Role Title: Technical Business Analyst BU/Segment: Banking / Credit Risk Project: Transformation & Re‑platforming of EAD & LGD application to GCP Location : Edinburgh, Halifax or London, United Kingdom (Flexible hybrid working) Employment Type: Umbrella Contract (Inside IR35) Summary of the role: We are seeking an experienced Technical Business Analyst (Tech BA) to support a strategic initiative to transform, modernize, and re‑platform existing Credit Risk applications onto Google Cloud Platform (GCP). The candidate will play a key role in understanding legacy systems, documenting current-state processes, defining target-state requirements, and collaborating closely with technology, data, risk, and analytics stakeholders. This role requires strong analytical skills, hands-on experience with SQL, excellent documentation capabilities, and significant exposure to data-intensive and cloud transformation projects within the Banking/Credit Risk domain. As part of your duties, you will be responsible for: 1. Requirements Gathering & Documentation Analyze and document current-state (AS‑IS) functional and technical workflows of existing Credit Risk models and applications. Lead requirements workshops with Risk, Data, Technology, and Model Development teams. Define and document future-state (TO‑BE) requirements for re‑platforming on GCP. Create detailed functional requirements, technical requirements, and data mapping documents. Translate business needs into user stories, acceptance criteria, data specifications, and interface contracts. 2. Process & Workflow Modelling Develop end-to-end process flows, workflow diagrams, and system interaction maps using tools such as Visio, Lucidchart, Draw.io, etc. Document data lineage, data transformation logic, and upstream/downstream dependencies. Identify process gaps, inefficiencies, risks, and improvement opportunities in the current design. 3. Data Analysis & SQL Work Perform hands-on data analysis using SQL to validate data requirements, profiling, and transformation logic. Validate data quality, assess historical patterns, and support remediation of data issues. Support model teams in understanding data availability, structure, gaps, and required transformations for GCP migration. 4. Cloud & GCP Migration Support Work closely with cloud engineering teams to define technical components required to move workloads to GCP. Support translation of requirements into GCP-native patterns (e.g., BigQuery, Cloud Storage, Dataflow, Pub/Sub). Assist in preparing migration plans, testing strategy, and validation of cloud-based solutions. Participate in sprint planning, backlog grooming, and UAT planning. 5. Stakeholder Collaboration & Delivery Serve as the bridge between business users, data teams, model developers, and GCP engineering teams. Ensure alignment between regulatory risk requirements and technical implementation. Support project governance, RAID management, and reporting activities. Qualifications and experience we consider to be essential for the role: Technical Skills Strong SQL expertise (querying, joining, profiling, analysis). Hands-on experience with data-centric projects involving large datasets, complex transformations, or advanced analytics. Knowledge of GCP services (BigQuery, Cloud Storage, Dataflow, GCE/GKE) or similar cloud platforms. Experience with data lineage, metadata, ETL concepts, and data modelling. Ability to read/understand tech design docs, data schemas, and API specs. Domain & Functional Skills Strong understanding of Credit Risk concepts, especially EAD, LGD, PD, IFRS9, Basel frameworks. Experience supporting risk model re‑engineering, regulatory reporting, or credit analytics projects. Prior experience documenting requirements for data & cloud migration programs. Business Analysis Skills Excellent ability to document requirements (BRD, FRD, RTM, User Stories). Proficient in creating workflows, system diagrams, and process flows. Strong problem-solving, analytical, and communication skills. Experience with JIRA, Confluence and Agile/Scrum environments. Preferred Qualifications Experience in Credit Risk transformation programs in major banks. Exposure to Python or data engineering concepts is an added advantage. To be considered for this role, you must already be eligible to work in the United Kingdom.