This role represents a fantastic opportunity for a data-driven Business Data & 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 Responsibilities
* Analyse large, complex datasets using SQL to identify trends, anomalies, and control weaknesses
* Develop Power BI dashboards and reporting to support fraud and AML monitoring
* Optimise transaction monitoring and fraud detection system rules to improve accuracy and efficiency
* Design and maintain data models to support financial crime controls and performance tracking
* Enhance data flows, integrations, and data quality across Financial Crime systems
* Partner with Technology, Risk, and Compliance teams to deliver data-led improvements
* Monitor key metrics and recommend enhancements aligned to risk appetite and regulatory expectations
Experience
* Strong background as a Data Analyst, Systems Analyst, or Business Data Analyst
* Advanced SQL skills with experience handling large, complex datasets
* Proven Power BI (or similar) dashboard development and insight delivery
* Experience improving systems, data quality, or rule-based controls
* Practical understanding of financial crime / AML / fraud prevention systems and applications
Desirable
* Experience with transaction monitoring or rule-based detection systems
* Exposure to AML, KYC, payments fraud, or financial crime controls
* Familiarity with Financial Crime platforms (e.g. ACI PRM, SIRA, ThreatMetrix) or similar tools
* Experience with predictive modelling or machine learning techniques
Salary: £45,000 – £65,000 + benefit. Hybrid, 2 onsite days per week (Warwickshire)
Apply for further job & interview details.
Full UK working rights required (no sponsorship opportunity provided).