Technical Systems Analyst

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