3 of 3 Fraud Detection Jobs in Birmingham

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have … a real commercial impact. What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational More ❯

This newly created role represents a fantastic opportunity for an experienced systems-based Financial Crime Analyst to make a real impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services provider. The role will play a pivotal part in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime … with analytical insight to help identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and compliant. Key Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends … and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency. Collaborate More ❯

IR35) Clearance: Active SC required About the Project: Our client – a leading global consultancy – is delivering a major programme within HMRC’s Risk and Intelligence Service (RIS) to strengthen fraud detection and compliance for Self-Assessment (SA) registrations. The Preventative Risking (PR) team plays a critical role in identifying fraudulent activity — currently detecting over 200,000 fraudulent registrations … Why Join? This is a chance to contribute to one of the most high-impact government risk intelligence programmes in the UK — directly shaping how HMRC detects and prevents fraud through automation, analytics, and modern cloud-based platforms. You’ll be working with cutting-edge SAS technologies in a collaborative, delivery-focused environment. More ❯