
Business Analyst – Risk Technology, Migration (SAS to GCP)
EXL
contract
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Tech Stack
About the role
- Act as the primary liaison between the Risk function and Technology/Data Engineering teams.
- Engage with Risk SMEs to understand business objectives, regulatory expectations, data dependencies, and analytical workflows.
- Translate Risk requirements into clear functional and technical specifications for migration.
- Manage expectations, priorities, and dependencies across multiple Risk use cases.
- Assess existing SAS-based Risk solutions (datasets, ETL jobs, models, reports, controls).
- Define migration strategies for individual use cases (re-platform, re-factor, or re-build).
- Support migration of data pipelines from SAS (Base SAS, SAS DI, SAS Viya) to GCP-native services.
- Ensure data accuracy, reconciliation, and parity between SAS and GCP outputs.
- Ensure Risk data quality, lineage, reconciliation, and auditability are maintained post-migration.
- Support implementation of controls aligned with Risk governance, model risk management, and regulatory standards.
- Collaborate with Testing and Validation teams to define and execute functional, data, and UAT test cases.
- Produce clear documentation including requirements, source-to-target mappings, data dictionaries, and migration runbooks.
- Support regulatory and internal audit queries related to data migration and platform changes.
- Ensure adherence to bank policies on data security, privacy, and cloud usage.
- Manage multiple use cases in parallel, tracking progress, risks, and dependencies.
- Provide regular status updates to programme and Risk leadership.
Requirements
- Strong experience working with Banking Risk functions (Basel, CRD IV, Credit Risk, IFRS9, Stress Testing, or similar).
- Solid understanding of Risk data, models, and regulatory reporting expectations.
- Experience translating business requirements into technical solutions.
- Hands-on experience with SAS (Base SAS, SQL in SAS, SAS DI, SAS Viya preferred).
- Strong SQL skills and experience working with large, complex datasets.
- Experience with cloud data platforms, preferably Google Cloud Platform (GCP).
- Familiarity with GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, and Composer.
- Understanding of data migration, ETL/ELT patterns, and data validation techniques.
- Strong stakeholder management and communication skills.
- Ability to work with both business and engineering teams.
- Structured, detail-oriented, and comfortable working in regulated environments.
- Experience working in large transformation or migration programmes.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
SASSQLETLdata migrationdata validationdata reconciliationdata qualitycloud data platformsGCPBigQuery
Soft Skills
stakeholder managementcommunicationdetail-orientedorganizationalcollaborationproblem-solvingadaptabilityproject managementanalytical thinkingtime management