This role represents a fantastic opportunity for a data-driven Business Data and Systems Analyst to strengthen financial crime and AML detection capabilities within a complex, data-rich environment.The position is suited to a technical data analyst with strong SQL, data modelling, and Power BI expertise, combined with a practical understanding of the financial crime landscape. The focus is on improving systems, data quality, and detection effectiveness - not investigations or case handling.Key ResponsibilitiesAnalyse large, complex datasets using SQL to identify trends, anomalies, and control weaknessesDevelop Power BI dashboards and reporting to support fraud and AML monitoringOptimise transaction monitoring and fraud detection system rules to improve accuracy and efficiencyDesign and maintain data models to support financial crime controls and performance trackingEnhance data flows, integrations, and data quality across Financial Crime systemsPartner with Technology, Risk, and Compliance teams to deliver data-led improvementsMonitor key metrics and recommend enhancements aligned to risk appetite and regulatory expectationsExperienceStrong background as a Data Analyst, Systems Analyst, or Business Data AnalystAdvanced SQL skills with experience handling large, complex datasetsProven Power BI (or similar) dashboard development and insight deliveryExperience improving systems, data quality, or rule-based controlsPractical understanding of financial crime / AML / fraud preventi