26 to 50 of 152 Fraud Detection Jobs in England

Fraud Data Analyst Fraud Data Analyst We are seeking an experienced Fraud Data Analyst to support the detection, analysis, and prevention of fraud across card and wire payment channels. This role plays a vital part in a dynamic compliance and risk function, using advanced data techniques to help protect customers and the integrity of payment … systems. You will work across teams to investigate suspicious activity, develop fraud models, and optimise transaction monitoring strategies using Python, SQL, and modern analytics tools. Key Responsibilities Fraud Detection and Investigation Monitor card and wire transactions to detect patterns associated with fraudulent behaviour Respond to real-time alerts and proactively identify potential fraud threats Develop and … refine fraud rules and detection models to improve efficiency Conduct root-cause analysis of false positives to fine-tune detection strategies Ensure all fraud-related processes remain compliant with current financial regulations Data Analysis and Reporting Extract and analyse large volumes of transactional data using SQL and Python Build and maintain dashboards and reports that highlight 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, About the team: You will be part of a team … who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You … craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: Experience in a 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, https://risk.lexisnexis.com About the team: You will be … part of a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result … craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: Experience in a More ❯

to ensure the accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of … the ability to work in a fast-paced environment. Strong communication skills to effectively collaborate with team members and present findings to stakeholders. A good understanding of the financial fraud domain is preferred, with the ability to apply this knowledge to data analysis and fraud detection. Critical thinking & translate technical problems into business usable and understandable language Big More ❯

to ensure the accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of … the ability to work in a fast-paced environment. Strong communication skills to effectively collaborate with team members and present findings to stakeholders. A good understanding of the financial fraud domain is preferred, with the ability to apply this knowledge to data analysis and fraud detection. Critical thinking & translate technical problems into business usable and understandable language Big More ❯

predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will More ❯

partners in digital banking and financial services. With a strong focus on customer experience, innovation, and security, we are committed to maintaining the trust of our users through robust fraud prevention and detection frameworks. Role Overview As a Fraud Manager, you will lead a team responsible for identifying, investigating, and mitigating fraud risks across our digital … banking products and services. You will play a key role in shaping fraud strategy, implementing proactive controls, and enhancing our fraud monitoring capabilities. Key Responsibilities Lead the fraud detection and prevention team, ensuring effective monitoring and investigation of suspicious activities. Develop and implement fraud risk management strategies and policies aligned with regulatory requirements and industry … Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across customer journeys. Manage fraud case investigations, reporting, and escalations, ensuring timely resolution and customer impact mitigation. Monitor KPIs and generate regular fraud performance reports for More ❯

Continue with Google Happening Greater London, England, United Kingdom Join to apply for the Staff Machine Learning Engineer role at Happening As a Staff Machine Learning Engineer in our Fraud Prevention team, you will leverage your expertise to build robust fraud detection models that safeguard our platform in the fast-paced world of online gaming and sports … edge tools, you’ll play a key role in ensuring platform security and enhancing our services for hundreds of thousands of daily users. What you’ll you be doing: Fraud Detection Modeling developing and optimizing traditional ML algorithms such as gradient boosted trees in fraud detection or anomaly detection domains creating graph analyses and graph … and SQL, with solid experience in relational databases Good knowledge and experience of the broader data science domains, especially large language models or computer vision models used for anomaly detection A track record in deploying machine learning pipelines using tools such as Airflow, SageMaker Pipelines or similar A talent for clean coding, simple solutions, automated testing and continuous deployment More ❯

KPIs Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive … Sportsbook or betting industry experience - Understanding of betting patterns, line setting, and risk management Sweepstakes/social casino experience - Knowledge of compliance requirements and user behavior in this space Fraud detection experience - Building systems to identify suspicious betting patterns Real-time analytics experience - Systems that can react to user behavior changes quickly Nice-to-Haves Experience with entertainment More ❯

optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. • Lending - 3/4 of US mortgages are approved using the FICO Score. More ❯

mission to help businesses improve decision-making using AI, machine learning, and optimization. FICO makes a difference worldwide: Credit Scoring - Used by 90 of the top 100 US lenders. Fraud Detection - Protects 4 billion payment cards globally. Lending - Used in 75% of US mortgages. Join us to be part of a diverse, inclusive environment that fosters collaboration and More ❯

data analyses, reporting requests, and broader data initiatives. Contribute to data governance by documenting definitions, processes, and ensuring consistency across the organization. Assist in advanced analytics initiatives, such as fraud detection, customer segmentation, churn analysis, and performance tracking. 2–4 years of experience in a data analytics role, ideally within the casino, iGaming, or online entertainment industry. Strong 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 ❯

Data Scientist, Ad Fraud Detection, Traffic Quality ML Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the More ❯

Office based role, working out of either London or Milton Keynes office Are you a seasoned fraud expert with payments acquiring experience and a passion for tackling complex challenges in the fast-evolving world of fintech? is on the lookout for a dynamic Senior Fraud Analyst to be part of our innovative UK Risk team. This is your … opportunity to shape fraud prevention strategies at a leading European e-money institution, where your expertise in card payments, digital transactions, and fraud analytics will make a tangible impact. Step into a role that offers ownership, innovation, and the chance to work with some of the brightest minds in the industry. Join us and help redefine the future … to All-in-One business solutions, empowering merchants to adopt cutting-edge technology seamlessly and scale their business with ease. Role Overview: We are seeking a highly skilled Senior Fraud Analyst to join ’s UK Risk function. As a leading European fintech and regulated e-money institution, provides advanced payment and acquiring solutions to a wide range of merchants. More ❯

days ago Be among the first 25 applicants About Business Unit: COO, Fraud Analytics Salary range: £39,200 - £58,800 per annum DOE+ benefits Location: UK Hybrid - London, Gosforth, Glasgow, Leeds Contract type : Permanent Our Team You will be joining the Application Fraud Analytics team, who are responsible for the application fraud strategies across all products. What … this means in 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 Driving application fraud strategy for a … specific area of the business, being a point of contact for stakeholders and providing SME input. Optimisation and monitoring performance of fraud detection and prevention systems and associated models. Configuring fraud systems to manage fraud risk within appetite and budget. Completing analytics as directed to support the setting and on-going reporting and management of the More ❯

our Business Services vertical, we offer solutions that help businesses drive revenue, improve operational efficiency, and enhance customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud Prevention, and Customer Data Management. Learn more at https://risk.lexisnexis.com . About the team: You will join a team utilizing global data from our real-time fraud detection platform to develop solutions for enterprise clients. About the role: Your expertise in data analysis, statistical modeling, and machine learning will have a direct impact by reducing customer friction, lowering fraud losses, and increasing profitability. You'll work with a platform analyzing billions of transactions monthly across sectors like Financial Services, Insurance, e-Commerce, and On … Demand Services. This role involves collaborating with product, engineering, and business teams, and building models to combat sophisticated fraud attacks. Responsibilities: Design and implement machine learning or rule-based models adhering to best practices and governance standards. Utilize SQL and Python, along with your quantitative skills, to develop features that detect evolving fraud patterns. Create internal tools to 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 ❯

Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate with the Risk Strategy Lead … and the technical implementation of our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage Open Banking: Maximise the use More ❯

Strategy Lead owns analytics, credit risk modelling, and data insights. What you'll do Define and execute: Own the roadmap for risk decisioning infrastructure , enabling scalable, automated credit and fraud decisioning. Product lifecycle ownership: Drive product development from concept to execution, including defining requirements, managing trade-offs, and prioritising technical work. Strategic partnership: Collaborate with the Risk Strategy Lead … and the technical implementation of our risk systems. Enhance and refine: Drive improvements to priority risk models , exploring opportunities to leverage LLMs (Large Language Models ) for enhanced credit decisioning, fraud detection, and risk evaluation. Integrate cutting-edge: Incorporate new and innovative fraud data sources to enhance risk assessment and decision-making. Leverage Open Banking: Maximise the use More ❯

optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring — FICO Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems. • Lending — 3/4 of US mortgages are approved using the FICO Score. More ❯

optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: Credit Scoring — FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are approved using the FICO Score. 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 ❯

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 ❯