1 to 25 of 30 Fraud Detection Jobs in the UK excluding London

business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas … an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments … MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency More ❯

business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas … an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments … MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency More ❯

and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge … Expertise in regulatory frameworks and practical applications in banking, insurance, and capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and … governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible benefits of compliance solutions. Full-Cycle Pre-Sales More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You’ll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You’ll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

your own projects, drive modelling initiatives, and take ideas from concept to production You’ll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You’ll have the chance to shape both models and how we think about fraud detection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

IFRS 17 and BCBS 239 for financial reporting and risk management. Understanding of the UK Data Protection Act and Solvency II compliance. Experience with pricing models, claims processing, and fraud detection within the insurance sector Strong problem-solving skills and ability to translate business needs into technical solutions Ability to document and present complex data architectures to technical More ❯

Were looking for a Senior Fraud Analyst to join our Credit Risk team This is a key role in the Financial Services business with responsibility for helping to drive fraud strategy to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly data … literate, with good knowledge of platforms and techniques to combat fraud and other financial crime, and also have a good understanding of the interplay between minimising fraud and maximising sales. This role is ideal for somebody with experience working within an analytical fraud strategy role who is wanting to make the step up to a senior analyst … position You would report to the Senior Manager Fraud Strategy who is responsible for fraud and financial crime strategy. In the role you would work closely with other teams in the wider organisation, e.g. New Business Risk, Customer Operations, Warehouse Operations, Risk and Compliance and Digital Technology A key pillar of our Group Strategy is the creation of More ❯

insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and respond to change with confidence. With a deep commitment to innovation and a global team of experts … insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and respond to change with confidence. With a deep commitment to innovation and a global team of experts More ❯

Our client is seeking a Payment Compliance Lead to drive compliance, reduce fraud risks, and optimise payment performance. This role offers the opportunity to collaborate across teams, ensuring payment processes remain secure and efficient while supporting business growth. Key Responsibilities Compliance & Risk Management Ensure compliance with Visa, MasterCard, AMEX, and other global regulations. Develop scalable policies and monitoring frameworks … to mitigate risks. Stay ahead of regulatory updates and assess their impact on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap … innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product & Technology for Risk Mitigation Own the Risk Mitigation Roadmap, ensuring alignment with business objectives. Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine More ❯

Our client is seeking a Payment Compliance Lead to drive compliance, reduce fraud risks, and optimise payment performance. This role offers the opportunity to collaborate across teams, ensuring payment processes remain secure and efficient while supporting business growth. Key Responsibilities Compliance & Risk Management Ensure compliance with Visa, MasterCard, AMEX, and other global regulations. Develop scalable policies and monitoring frameworks … to mitigate risks. Stay ahead of regulatory updates and assess their impact on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap … innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product & Technology for Risk Mitigation Own the Risk Mitigation Roadmap, ensuring alignment with business objectives. Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine More ❯

You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all … solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis techniques and processes to these datasets, including entity resolution at scale and graph-based fraud detection. With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner. Make More ❯

insights to increase average games played per month and overall revenues. User Segmentation: Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies. Fraud & Risk Detection: Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business. Onboarding & Payments: Analyse and improve the … tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail, analytical mindset, and a genuine passion for solving business problems with data Excellent communication skills and the ability to turn More ❯

projects could include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis Investigating customer segments and behaviours to support pricing, targeting, fraud-detection and product development decisions Modelling and tracking customer return behaviour across products and platforms Analysing and improving digital marketing and consumer journeys across our businesses Designing and More ❯

processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud detection, pricing, and customer experience initiatives. Design and implement data science solutions that align with regulatory standards and business objectives. Build and scale a high-performing data science More ❯

Associate Fraud Analyst Location: London Clearance: SC required Duration: 12 months Rate: £210 - £250 per day (Inside IR35) Organisation Join a progressive government body committed to strengthening fraud prevention and safeguarding digital services. This organisation plays a key role in delivering innovative solutions to detect, manage, and mitigate fraud risks across its platforms. If you're passionate … about financial crime prevention and thrive in a fast-moving, analytical environment, this is your chance to make a real impact. Responsibilities Review and triage fraud alerts from live service data, ensuring timely intervention. Stay vigilant to emerging fraud issues and trends, identifying risks and patterns. Support senior analysts on large-scale fraud analysis, contributing to strategic … insights. Maintain and optimise workstreams and priority queues, ensuring efficient fraud detection and resolution. Communicate fraud assessments effectively to senior stakeholders, offering clear insights and recommendations. Work in a target-driven environment, ensuring fraud prevention strategies are effectively executed. Role-Specific Knowledge & Skills Essential: Experience in counter-fraud or financial crime investigation. Strong data analysis More ❯

financial services Skills & Experience Proven success in B2B technology sales, ideally within AI, data analytics, or cloud services Strong understanding of AI applications in financial services and insurance (e.g., fraud detection, risk modeling, customer insights) Experience working with Tier 1 technology vendors and strategic partners Excellent communication, negotiation, and stakeholder management skills Ability to manage multiple opportunities and More ❯

solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis techniques and processes to these datasets, including entity resolution at scale and graph-based fraud detection. With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner. Make More ❯

Fraud Analyst - £550 per day, inside IR35, 6 months Your new company and role Hays are seeking a highly capable Fraud Analyst to join a leading digital consultancy, supporting a major UK savings bank. This role is ideal for someone with a strong understanding of fraud systems and regulatory compliance, particularly in the context of integrating third … party solutions into complex financial environments. The successful candidate will bring energy and drive to deliver results at pace, while acting as a subject-matter expert (SME) on fraud regulations. Key Responsibilities: • Lead and support the integration of third-party fraud systems, ensuring alignment with internal compliance frameworks and regulatory standards. • Collaborate with technology and vendor teams to … configure, test, and deploy fraud detection tools. • Document business requirements and testing scenarios for fraud-related projects. • Conduct fraud investigations and reviews, leveraging system outputs to identify suspicious activity. • Perform customer due diligence (CDD), enhanced due diligence (EDD), and sanctions screening as required. • Analyse alerts and escalate cases in line with internal procedures and regulatory expectations. More ❯

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. … a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform … the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative More ❯

hybrid About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll … Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions More ❯

dimensional data modeling Familiarity with Snowflake (or comparable) cloud data warehousing environments Ability to develop compelling data visualizations using tools like Tableau Bonus if you have experience with Python, fraud detection, A/B testing methodologies, or AI tools that enhance your workflow. Don't meet every single requirement but excited about the role? We encourage you to More ❯

elite engineering team that supports over 259 billion transactions annually across more than 200 countries. You'll be working on next-generation systems for real-time transaction processing and fraud detection , helping to shape the technology used by global household names such as Apple, Facebook, FedEx, and Nike . This is more than just a tech job - it … skills and a collaborative mindset Agile development experience in a team setting Bonus Skills (nice to have) Experience with big data tools like Hadoop, Spark, or Scala Exposure to fraud, payments , or financial services platforms Understanding of cloud-native development and container orchestration Knowledge of test-driven development and modern code quality practices What's on Offer Unrivalled pension More ❯

AWS Architect (SageMaker) Fraud Detection Startup (UK Remote) Location: UK (Remote) Salary: £70,000 £75,000 + Equity Job Type: Full-time, Permanent About Us My client is fraud detection/manipulation startup on a mission to protect businesses and consumers from digital fraud in real-time. Using cutting-edge machine learning and scalable cloud … infrastructure. The Role As our AWS Architect, youll play a key role in designing, building, and optimising our cloud environment to support advanced machine learning models and real-time fraud detection capabilities. Your Responsibilities: Architect and implement scalable AWS solutions with a focus on SageMaker for training, deploying, and managing ML models. Work closely with data scientists and … Familiarity with DevOps and MLOps tools and principles. Solid knowledge of cloud security and cost optimisation. Excellent communication skills and a proactive, problem-solving mindset. Bonus: Experience working in fraud detection, fintech, or startup environments. What We Offer: Competitive salary of £70,000 £75,000 per year Equity package share in the future success of the company Fully More ❯