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Embark on a transformative journey as a Fraud Technology Data Product Analyst – BA4 at Barclays. Our vision is clear - to redefine the future of banking by crafting innovative solutions. This is a high-impact opportunity at the intersection of risk, innovation, and strategic influence, essential to safeguarding the bank’s integrity and customer trust. You will assess requirements and translate them into technical details to execute according to specifications while managing delivery and expectations with stakeholders across the wider Fraud team.
Job Responsibility:
Identification and analysis of business problems and client requirements that require change within the organisation
Development of business requirements that will address business problems and opportunities
Collaboration with stakeholders to ensure that proposed solutions meet their needs and expectations
Support the creation of business cases that justify investment in proposed solutions
Conduct feasibility studies to determine the viability of proposed solutions
Support the creation of reports on project progress to ensure proposed solutions are delivered on time and within budget
Creation of operational design and process design to ensure that proposed solutions are delivered within the agreed scope
Support to change management activities, including development of a traceability matrix to ensure proposed solutions are successfully implemented and embedded in the organisation
Requirements:
Understanding on‑premise and cloud data environments, including systems like Oracle, Hadoop, Ab Initio, S3, Redshift, DBT, Databricks, and basic data warehousing knowledge
Experience supporting data migration activities, such as mapping legacy datasets to AWS targets, documenting schema requirements, identifying dependencies, and helping validate migrated data
Experience working with data ingestion and transformation pipelines, with awareness of metadata, data lineage and data quality checks
Ability to prepare clear documentation and interpretation, including user stories, acceptance criteria, data requirements, migration progress updates, and backlog inputs
A data-driven mindset to track issues, monitor progress, assess defects or gaps, and help improve the migration workflow
Nice to have:
Supporting in Risk, regulatory, and security standards, especially around data classification, encryption, and responsible data usage in AWS
Helping maintain product roadmaps and plans for migration phases such as ingestion, validation, entitlements, and enabling analytics and fraud use cases
Coordinating across cloud engineering, data engineering, governance, fraud SMEs, and controls teams to ensure smooth data transitions
Assisting in stakeholder alignment, ensuring upstream and downstream partners are ready for cloud adoption and can effectively consume the migrated datasets
What we offer:
medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances