Technical Business Analyst (Financial Crime / Quantexa)

Overview

In this fixed-term Technical Business Analyst role, you will support a major Financial Crime Transformation programme in a leading bank, focusing on Transaction Monitoring implementation. You will work with Compliance, Technology, Data Governance, and operations to define data and integration requirements, ensure data quality, and support delivery of a strategic initiative. The position suits an experienced analyst with a background in Financial Crime, AML, and systems integration. You’ll translate business needs into technical solutions and drive cross-functional delivery in a regulated environment.

Responsibilities

• Engage with business and technology stakeholders to gather, analyse and document technical and data requirements
• Analyse source systems, data flows, interfaces and system dependencies
• Develop and maintain source-to-target mapping documentation
• Perform data discovery, profiling and validation across multiple source systems
• Assess data quality, completeness and integrity, identifying gaps and remediation actions
• Support the definition of data governance requirements, critical data elements and data quality controls
• Collaborate with technical teams to define integration requirements and support solution design activities
• Maintain traceability between business requirements, technical specifications, solution design and testing outcomes
• Support data readiness, implementation and production deployment activities
• Participate in testing activities including SIT, UAT and data validation
• Produce high-quality documentation including data dictionaries, mapping documents, requirements specifications and data gap assessments
• Identify, manage and communicate project risks, issues and dependencies

Key requirements

• Business Analysis within Banking or Financial Services
• Financial Crime, AML, Transaction Monitoring, Sanctions, Fraud or Compliance transformations
• Data analysis, data mapping and data governance
• Source-to-target mapping and data lineage
• Data quality assessment, profiling and validation
• System integrations, interfaces and APIs
• Working across both business and technology teams
• SDLC, Agile and Waterfall delivery methodologies
• SIT, UAT and defect management

• proactive
• analytical
• stakeholder engagement
• Data analysis and data governance
• Source-to-target mapping
• Data quality assessment and validation

…