1 to 25 of 57 Fraud Detection Jobs in the UK excluding London

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 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 ...

Business Unit: COO, Fraud Analytics Salary range: Up to circa £58,000 per annum DOE + Benefits Location: UK Hybrid - Leeds/Gosforth/Glasgow Contract Type: Permanent full-time Our Team You'll be joining the Application Fraud Analytics team, who are responsible for the application fraud … layman's terms is that the team are responsible for preventing anyone who has had their identity stolen from becoming a victim of fraud at Virgin Money, protecting both customers, non-customers and the bank itself. Do you want to make a difference too? What you'll be doing ...

SENIOR FRAUD ANALYST £40-60,000 dependent on experience BIRMINGHAM THE COMPANY This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects … profitability for the business. THE ROLE Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank Manage and oversee fraud detection systems to ensure issues and risks are being actioned Analyse a range of customer data ...

ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems ...

industry events and forums. Ensure AI solutions meet regulatory and ethical standards. Prototype and deploy AI models for forecasting, customer insights, underwriting, and fraud detection. Technical Responsibilities Design and manage agentic AI architectures and generative code systems. Oversee code reviews and maintain standards for AI-assisted development. Develop testing ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. Our founders have built fraud and credit risk models protecting billions in transactions at Europe's top fintechs, and we're taking that experience to revolutionize how financial institutions verify … businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience for legitimate businesses. We already work with leading fintech unicorns and banks, are growing fast ...

Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do • Evidence ...

crypto conversion, dynamic pricing engines. Trading: Execution, order routing, liquidity, market data, trade lifecycle. Finance: Accounting flows, ledgering, reporting, revenue recognition. Risk: Transaction risk, fraud detection, credit/market risk signals and controls. Marketing: Customer journey optimisation, product-led growth, analytics, messaging. About You Proven experience ...

/5G tower logs) Customer lifecycle & churn data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement ...

Review of access controls (logical and physical) for systems involved in Money Out processes Assessment of data protection measures (encryption, masking, etc.) Evaluation of fraud detection and prevention mechanisms Review of audit trails and logging capabilities Risk & Compliance Identification of control gaps and vulnerabilities Recommendations for remediation ...

Their world-leading Graph Platform powers mission-critical applications for Fortune 500 companies, including Deutsche Bank, Walmart, NASA, JP Morgan, and AT&T. From fraud detection to real-time product recommendations, their technology is at the heart of cutting-edge innovations. As they expand globally, they are seeking ...

Their world-leading Graph Platform powers mission-critical applications for Fortune 500 companies, including Deutsche Bank, Walmart, NASA, JP Morgan, and AT&T. From fraud detection to real-time product recommendations, their technology is at the heart of cutting-edge innovations. As they expand globally, they are seeking ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...

Role: Hybrid Senior QA Engineer Location: Remote (UK-based preferred) Type: Full-time Compensation: Competitive About Veridox: Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust ...