AVP Technical Systems Analyst - Financial Crime & Surveillance

Hybrid: 3 Days in London P/W
Full Time
TBC

Skills: Python, PowerShell, .NET, Power BI, Snowflake, SQL, SSIS, MongoDB, Kafka, Kubernetes, GitHub, JIRA, Financial Crime, Transaction Monitoring, Surveillance, Actimize, Fircosoft

Technical Systems Analyst (AVP)
Financial Crime & Surveillance
International Banking Group
London - Hybrid (3 days per week on site)
Permanent

Our client, a leading international banking group, is looking for a Technical Systems Analyst at Assistant Vice President level to join its London Financial Crime & Surveillance function. You will bridge business needs and technology, improving the systems that support the bank's financial crime and surveillance controls.

The role

  • Analyse, design and implement enhancements to financial crime and surveillance platforms such as transaction monitoring, sanctions screening and market surveillance systems.
  • Hands-on development, configuration and scripting using Python, PowerShell, .NET and Power BI.
  • Turn business requirements into clear technical specifications.
  • Carry out root cause analysis on system issues and design preventative controls.
  • Act as the key technology contact for internal and external audits, providing evidence, documentation and data extracts.
  • Work with Compliance, Operations and Risk teams as the liaison between business users and technology.
  • Analyse large datasets for anomalies and control gaps, and support model validation including tuning machine learning models where relevant.
  • Take part in change activity such as upgrades, patching, SIT/UAT and documentation.

What you bring

  • Experience analysing complex systems in regulated banking, with a focus on financial crime prevention or surveillance technology.
  • Python and PowerShell for automation, plus Dot Net and Power BI for data processing or integration.
  • Data engineering background: Snowflake, advanced SQL or stored procedures, MongoDB and SSIS.
  • Apache Kafka for real-time data streaming, with exposure to Kubernetes or similar.
  • GitHub (or similar) for version control, and Agile/Scrum delivery using JIRA and Confluence.
  • Exposure to AI/ML frameworks such as TensorFlow or PyTorch and deploying models to production.
  • Helpful but not essential: transaction monitoring (e.g. Actimize), sanctions screening (e.g. Fircosoft) or communications/trade surveillance platforms.
  • Strong communication skills, able to explain technical concepts to non-technical audiences.