1 to 25 of 48 Fraud Detection Jobs in London

Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in … out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to make model … deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

network expansion. Partner with commercial and product stakeholders to embed data into every stage of the sales, account management, and network growth processes. Build models for customer segmentation, anomaly detection, forecasting, fraud/risk scoring, and identifying growth opportunities in existing and untapped markets. Turn data into actionable insights, proactively and persuasively translating data into meaning for technical … just crunch numbers, you drive decisions. Nice-to-Haves Experience with forecasting models for revenue, client growth, and network activity. Familiarity with data visualization tools like Tableau. Exposure to fraud detection, anomaly detection and pattern recognition modeling. Create a Job Alert Interested in building your career at Freemarket? Get future opportunities sent straight to your email. Apply More ❯

wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a 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 ❯

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 ❯