1 to 25 of 28 Permanent 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 ❯

DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯

DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯

DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯

DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote 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 ❯

solutions and related architectures. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Data Science, or a related field. Experience in banking, finance, risk, or fraud detection is a plus. A track record of leading AI-driven transformation projects in financial services is highly desirable. About Standard Chartered We're an international bank, nimble More ❯

Our client is looking for a Senior Data Analyst to join their Financial Crime, Claims and Operations Oversight team. This is your opportunity to use data for good — detecting fraud, strengthening controls, and influencing how they protect their customers and their business. Responsibilities; As a Senior Fraud Data Analyst, you’ll play a vital role in fraud prevention, governance, and operational risk oversight. You’ll: Lead data analysis and machine learning initiatives to detect suspicious activity and organised fraud Build predictive models and insight tools that enhance fraud detection, customer understanding, and business performance Ensure oversight and compliance across claims and operational processes, supporting fair customer outcomes Deliver high-impact reporting and dashboards More ❯

environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business … and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end … fraud solutions. Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks. Leverage the extensive data received from our application to enhance model performance and accuracy. Requirements: 7+ years of experience in hands-on working on spam and fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions 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 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 ❯

environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business … and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end … fraud solutions. Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks. Leverage the extensive data received from our application to enhance model performance and accuracy. Requirements 7+ years of experience in hands-on working on spam and fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions More ❯

least a basic understanding of leading/famous algorithms across the domains of machine learning, simulation and optimisation. Experience and domain knowledge in Financial Services technology, particularly trading and fraud detection systems highly valuable. Innovative problem-solver with excellent multitasking abilities, skilled in identifying, prioritising, and resolving complex issues proactively. Highly adaptable, responsive, and flexible to shifting priorities More ❯

combines strong technical expertise with relationship management, and a deep understanding of customer operational challenges. Technical Skills/Experience Strong background in software configuration and system optimisation. Experience with fraud detection, risk management, security analytics or CCTV platforms. Proficiency in troubleshooting complex technical systems including the ability to read and interpret software logs. Ability to research and propose … preferred but not essential, practical experience and problem-solving skills are prioritized over specific degrees. Experience in enterprise-level application deployment. Background in retail loss prevention, security systems, or fraud detection preferred. Key Responsibilities Configure and deploy software tailored to customer needs. Optimise system performance and troubleshoot technical issues. Collaborate with clients to understand operational challenges and design 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 ❯

maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About the Team The Customer Engagement team acts as … a centre of excellence for the LexisNexis® RiskNarrative® product, responsible for delivering Strategic Engagement Services to customers throughout their lifecycle. RiskNarrative brings powerful automation under total control, uniting fraud detection, financial crime prevention, compliance and risk management across the entire customer lifecycle for our customers. About the Role You will support the ongoing management and optimisation of existing … Able to react well to rapidly changing requirements with a positive attitude Able to meet deadlines while delivering an exceptional customer experience Having experience working in the financial crime & fraud sector is beneficial, however not essential We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are 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 ❯

tolerance for errors. This role can be located in London, UK, or Bangalore, India. Key job responsibilities - Drive technical vision and architecture for next-generation invalid and low traffic detection systems - Pioneer novel approaches in self-supervised learning and unsupervised learning. - Design scalable ML frameworks that balance sophisticated modeling with sub-millisecond latency. - Establish scientific standards and review mechanisms … across traffic quality teams. - Mentor scientists and influence ML best practices across Amazon Advertising. - Partner with research organizations to advance state-of-the-art detection techniques. - Author technical publications and represent Traffic Quality at leading ML conferences. BASIC QUALIFICATIONS - PhD in Computer Science, Machine Learning, or related technical field - Broad research experience after a PhD degree - Deep expertise in … deep learning, self-supervised and unsupervised learning - Experience mentoring scientists and driving technical initiatives PREFERRED QUALIFICATIONS - Past experience with with ad fraud detection. - Familiarity with online advertising systems and infrastructure. - Track record of solving novel technical problems at massive scale. - Strong publication history in top-tier ML conferences/journals Amazon is an equal opportunities employer. We believe passionately More ❯

engineering, UX, compliance, and executive stakeholders. Experience working in agile environments (scrum/kanban). Nice to have: Experience in emerging markets or multi-country product rollouts. Familiarity with fraud detection tools and policies. Knowledge of payments or post-onboarding flows (account funding, first transaction). More ❯

how businesses leverage connected data. 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 a trilingual Graduate Sales Development More ❯