At a Glance
- Tasks: Join the fight against financial crime using advanced tech solutions and collaborate with diverse teams.
- Company: Leading bank dedicated to compliance and innovation in financial crime technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a regulated banking environment.
- Why this job: Make a real impact in financial crime prevention while developing your technical skills.
- Qualifications: Experience in analysing complex systems and proficiency in Python, PowerShell, and data engineering.
The predicted salary is between 72000 - 88000 £ per year.
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 life cycle management - beneficial.
- Experience with transaction monitoring (eg Actimize), sanctions screening (eg 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
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