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