18 of 18 Remote Fraud Detection Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

AI leadership roles within financial services (Banking, Capital Markets, Insurance). Deep technical expertise in generative AI (LLMs, Transformers, GANs, Diffusion Models). Strong understanding of financial use cases: fraud detection, algorithmic trading, regulatory tech, and personalisation. Experience with cloud-native AI platforms (Azure, AWS, GCP) and frameworks (PyTorch, TensorFlow). Exceptional stakeholder management and communication skills. Track More ❯

merchant risk levels - Make independent underwriting decisions based on established risk criteria and company policies - Review high-risk or complex merchant applications, providing recommendations - Collaborate with Sales, Compliance and Fraud teams to balance risk management with business objectives - Stay current with industry regulations, card scheme rules and emerging fraud trends - Assist junior underwriters and contribute to the development … card scheme regulations (Visa, Mastercard) and payment industry compliance requirements - Analytical skills with ability to interpret financial statements and assess business viability - Experience with AML/KYC procedures and fraud detection methodologies - Bachelor's degree in Finance, Business, Economics or related would be beneficial - Experience underwriting high-risk merchant categories (ideally including crypto, gambling, and other regulated sectors … with knowledge of appropriate risk mitigation strategies - Experience with underwriting automation systems and risk scoring models - Analytical skills to identify and assess potential fraud and compliance issues Underwriting Officer - Benefits: Our robust benefits package includes (subject to local office benefits policy): - Be part of a dynamic, market-leading Fintech experiencing rapid growth - Flexible work arrangements tailored to role requirements More ❯

merchant risk levels - Make independent underwriting decisions based on established risk criteria and company policies - Review high-risk or complex merchant applications, providing recommendations - Collaborate with Sales, Compliance and Fraud teams to balance risk management with business objectives - Stay current with industry regulations, card scheme rules and emerging fraud trends - Assist junior underwriters and contribute to the development … card scheme regulations (Visa, Mastercard) and payment industry compliance requirements - Analytical skills with ability to interpret financial statements and assess business viability - Experience with AML/KYC procedures and fraud detection methodologies - Bachelor's degree in Finance, Business, Economics or related would be beneficial - Experience underwriting high-risk merchant categories (ideally including crypto, gambling, and other regulated sectors … with knowledge of appropriate risk mitigation strategies - Experience with underwriting automation systems and risk scoring models - Analytical skills to identify and assess potential fraud and compliance issues Underwriting Officer – Benefits: Our robust benefits package includes (subject to local office benefits policy): - Be part of a dynamic, market-leading Fintech experiencing rapid growth - Flexible work arrangements tailored to role requirements More ❯

the bar even higher.?? About the RoleThis isn't your average compliance gig. As our Verifications Subject-Matter Expert, you'll be the go-to authority on seller eligibility, fraud detection, and due diligence. You'll dive deep into applications, spot red flags before they wave, and guide our Verification Administrators through complex cases with confidence and clarity.You … with leadership to evolve our processes for speed, accuracy, and impact Coach and mentor Verification Administrators to elevate team performance What You'll Bring Proven experience in verification, compliance, fraud prevention, or due diligence Exceptional analytical skills and a laser-sharp eye for detail Proficiency in Microsoft Excel (think: sorting, formulas, reporting) Experience with Salesforce or similar CRM platforms More ❯