Financial Crime - Data Analyst

This newly created role presents an excellent opportunity for an experienced, systems-focused Financial Crime Analyst to make a meaningful impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services organisation.

You will play a pivotal role in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime systems. Working in a data-rich environment, you will combine technical expertise with analytical insight to identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and fully compliant.

Key Responsibilities

• Lead and support the development and optimisation of fraud detection and prevention strategies across Financial Crime systems.
• Analyse large, complex datasets using advanced SQL and data management tools to uncover patterns, trends, and anomalies.
• Develop, monitor, and report on key fraud metrics, presenting insights and recommendations to senior stakeholders.
• Design and implement data models and machine learning scoring models to enhance predictive insights and detection accuracy.
• Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency.
• Collaborate with Technology, Risk, and Compliance teams to deliver data-driven improvements and strategic initiatives.
• Maintain robust governance and controls over fraud detection systems, ensuring compliance with regulatory and internal standards.
• Stay up to date with evolving financial crime trends, industry best practices, and emerging technologies.
• Engage with external partners, vendors, and industry peers to explore new detection techniques and system capabilities.

Skills & Experience

• Strong background in Financial Crime or Fraud Analytics within banking or financial services.
• Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets.
• Experience with database platforms such as SQL Server, Oracle, SAS, or Access.
• Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting.
• Knowledge of AI and machine learning models for risk scoring and predictive analytics.
• Experience with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS.
• In-depth understanding of payments fraud, AML, CTF, KYC, and internal fraud practices.
• Excellent analytical and problem-solving skills, with high accuracy in data investigation and interpretation.
• Strong communication skills, with the ability to translate technical findings into actionable business insights.

Qualifications

• Degree in Computer Science, Data Analytics, Mathematics, or a related field.
• MIS/CIS, AI, or Machine Learning qualification, or equivalent experience.
• Recognised SQL/Database certification (Microsoft, Oracle, or equivalent).
• Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable.
• Exceptional candidates without formal qualifications but with equivalent experience will also be considered.

Other

• Competitive salary of £60,000–£70,000 base salary, depending on experience.
• Hybrid working: two days per week in the West Midlands office.
• Ongoing professional development and access to advanced Financial Crime training.
• Opportunity to shape a newly established role within a growing, innovative team.
• A collaborative, supportive environment focused on continuous improvement and data-led decision-making.

If you are an experienced Financial Crime Systems Analyst seeking a new challenge and the opportunity to influence how a leading financial institution protects its customers, please submit your CV along with a short cover letter outlining your experience and motivation for the role.

Applicants must have full UK working rights. Sponsorship is not available for this position.