Business Analyst - Risk Technology / Migration (SAS to GCP)

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.

We are seeking an experienced professional to act as a bridge between the Bank's Risk function and Technology teams, responsible for understanding Risk use cases and leading the migration of data and analytics workloads from SAS-based platforms to Google Cloud Platform (GCP). The role requires strong stakeholder management, deep understanding of Risk data and processes, and experience working on data migration and cloud-enabled architectural projects. The individual will work closely with Risk stakeholders to understand current-state SAS implementations, work with architects and Risk SMEs to define target-state designs on GCP, and ensure successful delivery of each use case. This role is critical to enabling the Bank's Risk function to transition from legacy SAS platforms to a scalable, cloud-native GCP architecture while maintaining regulatory confidence and business continuity.

Key Responsibilities

• Stakeholder & Requirements Management: 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.
• SAS to GCP Migration Delivery: 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. Work with engineering teams to implement solutions using GCP components such as BigQuery, Cloud Storage, Dataproc, Dataflow, Composer, and Vertex AI (where applicable). Ensure data accuracy, reconciliation, and parity between SAS and GCP outputs.
• Data & Controls: 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.
• Governance & Documentation: 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.
• Delivery & Coordination: Manage multiple use cases in parallel, tracking progress, risks, and dependencies. Provide regular status updates to programme and Risk leadership.

Required Skills & Experience

• Functional / Domain: 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.
• Technical: 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.
• Delivery & Soft Skills: 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.
• Preferred / Nice to Have: Bachelor's or Master's degree in Engineering, Computer Science, Finance, Mathematics, or a related field. Experience in large-scale Risk platform or data migrations. Exposure to Python / Spark / DBT / BigQuery for data processing. Experience working in Agile delivery models. Prior experience in a Tier-1 bank or regulated financial institution.

To be considered for this role, you must already be eligible to work in the United Kingdom.