1 to 25 of 37 Fraud Detection Jobs in the UK excluding London

offer intuitive, effortless and engaging user experiences. The Role As a Product Owner at EML Payments, you will be responsible for ensuring the seamless execution of effective and timely fraud detection and prevention capabilities, that mitigates risk and delivers a seamless customer experience. You will work closely with cross-functional teams by implementing adequate screening, identifying and preventing … ongoing fraudulent transactions that reduces financial losses, enhances security, and maintains customer trust. Fraud: Real time detection, prevention across, card, merchant, web and apps. Implementing fraud metrics, monitoring & red flags across ongoing transactions, cross-border activity, rapid reloads, diverse funding methods. Monitoring transactions to improve detection, as well as identifying discrepancies in customer information. Screening: Set … and Know Your Customer (KYC) in accordance with regional regulation that checks, collects and verifies information about both businesses and individuals to prevent financial crimes like money laundering and fraud, ensuring compliance with regional regulations. Integrate with clients via a reliance model where appropriate. Limits & Controls: Implement a range of measures that manage and control the risk of fraud More ❯

offer intuitive, effortless and engaging user experiences. The Role As a Product Owner at EML Payments, you will be responsible for ensuring the seamless execution of effective and timely fraud detection and prevention capabilities, that mitigates risk and delivers a seamless customer experience. You will work closely with cross-functional teams by implementing adequate screening, identifying and preventing … ongoing fraudulent transactions that reduces financial losses, enhances security, and maintains customer trust. Fraud: Real time detection, prevention across, card, merchant, web and apps. Implementing fraud metrics, monitoring & red flags across ongoing transactions, cross-border activity, rapid reloads, diverse funding methods. Monitoring transactions to improve detection, as well as identifying discrepancies in customer information. Screening: Set … and Know Your Customer (KYC) in accordance with regional regulation that checks, collects and verifies information about both businesses and individuals to prevent financial crimes like money laundering and fraud, ensuring compliance with regional regulations. Integrate with clients via a reliance model where appropriate. Limits & Controls: Implement a range of measures that manage and control the risk of fraud More ❯

Were looking for a Senior Data Analyst Fraud Analytics 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.You will have experience using SQL, SAS or Python for data mining and analysis. 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. What will you do as aSenior Data Analyst Fraud Analytics at N Brown? Provide support in all aspects of consumer fraud and financial More ❯

We’re looking for a Senior Data Analyst – Fraud Analytics 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. You will have experience using SQL, SAS or Python for data mining and analysis.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. What will you do as a Senior Data Analyst – Fraud Analytics at N Brown? Provide support in all aspects of consumer fraud More ❯

and are passionate about building and protecting the financial infrastructure that powers the UK's best and brightest businesses. In a nutshell, the mission of a Technical AML/Fraud Analyst is to lead the development and optimisation of rule-based fraud detection systems-primarily in Feedzai-by designing scalable, proactive, and data-driven frameworks that secure … the bank while enabling growth. Are you ready to step up to the challenge? Responsibilities: Own the design, configuration, and optimisation of the Feedzai fraud prevention platform, tailoring it to meet OakNorth's strategic needs. Collaborate cross-functionally with Compliance, Engineering, and Operations to ensure robust AML, Sanctions, and fraud mitigation strategies are embedded bank-wide. Lead the … creation of a new methodology for building and testing rulesets across Fraud and AML transaction monitoring systems. Zero-base our rules engine to support scale, efficiency, and agility-your work will help us grow and reduce risk at the same time. Identify inefficiencies and propose scalable improvements across current AML, TM, and fraud detection logic. Assess existing More ❯

seamless digital transactions. Their mission is to drive transformative digital change for customers and communities alike. As a Product Owner, you'll be responsible for developing and delivering robust fraud detection and prevention capabilities. You'll work closely with cross-functional teams to implement screening measures, identify and mitigate fraudulent transactions, and ensure a secure and seamless customer … journey. Key Functional Areas: Fraud Detection: Real-time prevention across card, merchant, web, and app channels Implement metrics, monitoring, red flags for suspicious activities KYB/KYC: Implement Know Your Business and Know Your Customer processes aligned to regional compliance Transaction Monitoring: Set up rules and alerts for ongoing review of transaction patterns Product Strategy & Roadmap Define the … product vision for fraud detection and prevention Stakeholder Management Collaborate with internal teams (technical, design, operations) and external fraud authorities Product Development & Execution Translate product ideas into actionable user stories Customer Experience Design seamless, user-friendly experiences Data & Insights Use customer and transaction data to drive decision-making Technical Knowledge: Agile methodologies (Scrum/Kanban) Familiar with More ❯

Fraud Data Analyst Location: London, UK Contract: Permanent Salary: 70K-80K An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML detection … a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events. Key Responsibilities Create and implement a methodology for building and testing fraud and AML rulesets. Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions. Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic. Develop … and maintain MI dashboards and real-time fraud risk metrics. Support decision-making with advanced analytics and contribute to the evolution of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data More ❯

Fraud Data Analyst Location: London, UK Contract: Permanent Salary: 70K-80K An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML detection … a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events. Key Responsibilities Create and implement a methodology for building and testing fraud and AML rulesets. Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions. Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic. Develop … and maintain MI dashboards and real-time fraud risk metrics. Support decision-making with advanced analytics and contribute to the evolution of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data More ❯

Fraud Data Analyst Location: London, UK Contract: Permanent Salary: 70K-80K An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML detection … a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events. Key Responsibilities Create and implement a methodology for building and testing fraud and AML rulesets. Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions. Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic. Develop … and maintain MI dashboards and real-time fraud risk metrics. Support decision-making with advanced analytics and contribute to the evolution of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 our Team: You will be part of a … team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the Role: You will use your experience with data analysis to investigate suspicious behavior. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud … you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities Conducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk Using your SQL and Python skills to increase our customers’ fraud 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 ❯

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 ❯

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 ❯

evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics) If this role looks of interest More ❯

evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics) If this role looks of interest More ❯

Transaction Monitoring: Ensure timely, effective investigation and escalation of alerts, including SAR management. Sanctions Compliance: Oversee screening and escalation processes for sanctions adherence across clients, payments, and vendors. Anti-Fraud Controls: Implement and oversee fraud detection and prevention frameworks across all customer channels. Surveillance: Monitor for market abuse and misconduct through robust communications and trade surveillance. Governance More ❯

Transaction Monitoring: Ensure timely, effective investigation and escalation of alerts, including SAR management. Sanctions Compliance: Oversee screening and escalation processes for sanctions adherence across clients, payments, and vendors. Anti-Fraud Controls: Implement and oversee fraud detection and prevention frameworks across all customer channels. Surveillance: Monitor for market abuse and misconduct through robust communications and trade surveillance. Governance More ❯

Transaction Monitoring: Ensure timely, effective investigation and escalation of alerts, including SAR management. Sanctions Compliance: Oversee screening and escalation processes for sanctions adherence across clients, payments, and vendors. Anti-Fraud Controls: Implement and oversee fraud detection and prevention frameworks across all customer channels. Surveillance: Monitor for market abuse and misconduct through robust communications and trade surveillance. Governance 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 ❯

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 ❯