This is a hands-on data, automation and systems role. You will sit in the Transformation team and work closely with Financial Crime Compliance (FCC), Regulatory Compliance and the wider Data and Legal function to build the technical infrastructure that keeps our compliance framework effective, scalable and audit-ready.
Right now, too much of our MI is produced manually. Transaction monitoring rules are hard to tune without dedicated analytical support. Reporting across UK, EU and US jurisdictions is growing in complexity. And our compliance teams spend time on workflow management that could be handled by better dashboards and tooling. This role exists to fix that.
You will not be a BAU financial crime analyst. FCC and Regulatory Compliance will retain ownership of the control framework, regulatory interpretation, risk judgments and MLRO decisions. Your job is to give those teams the data, tooling and automation they need to do their work better — and to help us build smarter compliance infrastructure as we scale.
The initial focus will be Financial Crime Compliance, expanding into Regulatory Compliance and then broader Transformation priorities across customer onboarding, process efficiency and automation.
Over time, you will also support wider Transformation priorities across the customer onboarding production line, including workflow optimisation, third-party tooling, process automation and operational performance.
Requirements
MI, Dashboards and Governance Automation
- Build and maintain dashboards for Financial Crime and Regulatory Compliance KPIs.
- Automate the production of recurring MI and governance reporting, including the monthly Financial Crime Committee pack.
- Improve consistency of reporting definitions, data logic, governance materials and audit trails.
- Identify anomalies in MI and support root-cause analysis.
- Move reporting away from manual, spreadsheet-heavy processes towards repeatable, scalable and controlled outputs.
Transaction Monitoring Support
- Support analysis, testing, tuning and refinement of transaction monitoring rules.
- Use data and operational feedback to reduce false positives and improve control effectiveness.
- Analyse AML, KYC, KYB, fraud and transaction monitoring data to identify patterns, trends, anomalies and control gaps.
- Help assess emerging financial crime typologies and translate findings into monitoring, dashboarding or workflow improvements.
- Document rule logic, tuning rationale, data assumptions and control changes.
Regulatory and Audit