Technical Systems Analyst – Financial Crime Technology
Permanent | Hybrid | £80,000 - £90,000
Overview
Opportunity to join a leading bank's fight against financial crime through advanced technological solutions. You will collaborate with cross-functional teams to analyse business requirements and translate them into technical strategies that strengthen the compliance posture of a major financial institution.
Role & Responsibilities
Analyse, design, and implement enhancements for complex financial crime and surveillance platforms — transaction monitoring, sanctions screening, and market surveillance systems
Hands-on development, configuration, and scripting using Python, PowerShell, .NET, and Power BI to deliver scalable technical solutions
Translate complex business needs into clear technical specifications, ensuring solutions are robust, compliant, and future-proof
Conduct root cause analysis on system issues and design preventative controls to mitigate risk
Act as key technology contact during internal/external audits — providing evidence of controls, documentation, data extracts, reconciliations, and supporting remediation
Collaborate with Compliance, Operations, and Risk teams as liaison between business users and technology
Provide SME input on financial crime systems architecture and data flows
Analyse large datasets for anomalies or control gaps, maintaining data integrity across surveillance/reporting systems
Support model validation, including tuning ML models to enhance detection capabilities
Participate in change management — system upgrades, patching cycles (SIT/UAT), implementations, documentation, version control
Skills & Experience
Demonstrable experience analysing complex systems within regulated banking environments, with a focus on financial crime prevention or surveillance technologies
Python and PowerShell for automation; experience with .NET and Power BI for data processing/integration
Strong data engineering background — Snowflake, advanced SQL, MongoDB (NoSQL), SSIS
Practical knowledge of Apache Kafka; exposure to Kubernetes for cloud deployments
Hands-on GitHub usage — branching strategies, release management
Agile/Scrum delivery experience with JIRA/Confluence
Exposure to AI/ML frameworks (TensorFlow, PyTorch) and model lifecycle management — beneficial
Experience with transaction monitoring (e.g. Actimize), sanctions screening (e.g. Fircosoft), or market/trade surveillance platforms — beneficial but not essential
Excellent communication skills — able to explain technical concepts to non-technical audiences
Proactive, organised, able to manage large workloads under tight deadlines
Details
Permanent role
Hybrid working
£80,000 - £90,000
