51 to 75 of 165 Fraud Detection Jobs in the UK

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 ❯

You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all … solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis techniques and processes to these datasets, including entity resolution at scale and graph-based fraud detection. With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner. Make More ❯

us build the future of Web3 and digital ownership. Location supported This role can be performed in London or remotely from the United Kingdom About the Opportunity As a Fraud Strategy Lead, you will play a key role in safeguarding the integrity of MoonPay's platform and clients by identifying and mitigating fraud risks across our suite of … products and services. You will be responsible for developing and enhancing fraud detection and risk mitigation strategies, with a focus on identity fraud, payments fraud, account takeover (ATO) and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will develop a … deep understanding of MoonPays fraud prevention capabilities and collaborate with cross-functional teams including data science, security, compliance, product, and engineering to implement effective solutions. This is an excellent opportunity to leverage your expertise in risk management and fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment. What you More ❯

we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. The Fraud Team We are here to use data and AI to protect Marshmallow from application fraud, making sure that the people and risks we insure are genuine and fairly … priced. Our work is critical to achieving a healthy loss ratio, unlocking growth, and building trust with under-served customer segments. Our focus is on policy fraud at the point of sale. That includes detecting misrepresentation, organised fraud such as ghost broking, and verifying customer information efficiently and at scale. We build models and tools that help Marshmallow … direct investigative effort to where it has the biggest impact. The goal is to reduce operational workload while improving decision quality. You will join a cross-functional team spanning fraud operations, product, and engineering, with full ownership of your initiatives. You will help shape the next generation of fraud defences powered by intelligent workflows, structured and unstructured data More ❯

Strategy Analyst - Fraud Team Hybrid in London, UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we … and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need - often within minutes. The team The Fraud team owns iwoca's fraud strategy, analytics and tech systems. The team optimises iwoca's fraud decisioning, balancing robust fraud detection and prevention, with exceptional … The role The Strategy Analyst role combines strategic and analytical thinking. The successful candidate will conceive, manage and deliver projects that use data to identify changes to iwoca's fraud strategy to balance fraud detection with customer conversion. The role requires good collaboration, working closely with our engineers and Team Lead, as well as other teams within More ❯

insights to increase average games played per month and overall revenues. User Segmentation: Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies. Fraud & Risk Detection: Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business. Onboarding & Payments: Analyse and improve the … tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail, analytical mindset, and a genuine passion for solving business problems with data Excellent communication skills and the ability to turn More ❯

qualifications and experience that would be beneficial for the role? Education: Degree in Finance, Economics, Business, or a related field. Certifications: CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner), or relevant blockchain/crypto certifications. Data Analysis Proficiency: Competency in data analysis tools (e.g., Excel, SQL) to support transaction analysis and investigative work. Cryptocurrency Knowledge: Familiarity with … blockchain technology, cryptocurrency transaction flows, and the financial crime risks associated with digital assets. Fraud Detection Experience: Experience in fraud detection or other investigative roles within the financial services or payments industry. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Finance and Sales Referrals increase your chances of More ❯

against fraud. We are looking for an experienced and technical and process-minded Senior/Lead Product Manager - Fiat experience to lead our Global payment rail expansion and anti-fraud practice. You will especially make sure that our users’ deposit and withdrawal experience Globally is top-tier both with fiat and crypto. WHAT YOU WILL DO Optimize and expand … enhance conversion Own relationships with banks and payment gateways Globally Work with the brokerage team to enable trading in these local currencies. Build an industry-leading risk and anti-fraud function by collaborating with industry experts to identify benchmarks and develop strategies to exceed them. Create and execute a product roadmap, monitoring trends to identify risks, opportunities and new … and analyze the impact of existing and new features on key KPIs and user engagement. Collaborate with engineering, data science, operations, compliance and other teams to design and implement fraud detection and prevention tools. Work with external vendors on opportunities and solutions to protect against fraud Conduct root cause analysis of fraud incidents and develop corrective More ❯

Delivery Platform to define and lead this platform. You will design systems and abstractions that shape our cash delivery, owning the roadmap across capabilities like survey building, eligibility & verification, fraud detection, payments, and case management. You will work closely with engineers, field operations, and research teams to design, build, and scale a system that ensures cash gets to … field officers, recipients, and technical program managers – to design the platform and its abstractions Strategic Roadmap & Prioritization Own the roadmap for platform capabilities like survey tooling, eligibility and KYC, fraud detection, payments, and case management Make high-leverage prioritization decisions across multiple product lines and internal teams Define and track success metrics for the platform Detailed Product Design More ❯

Familiarity with the sales qualification methodology 'MEDDPICC' or equivalent An understanding of Financial Services business and technology challenges Experience in Consumer Lending, Credit Risk, Account Management, Retail Banking and Fraud is also a positive but not mandatory A Passion to learn and educate customers through presentations and conversations with strong soft skills Ability to travel up to 40% of … 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 ❯

of compliance teams, operational workflows, and business goals. Work closely with compliance, engineering, analytics, and operations teams to develop and refine solutions. Improve and optimize screening capabilities to enhance detection accuracy while reducing unnecessary friction. Stay ahead of industry changes, ensuring our products align with evolving global sanctions frameworks (OFAC, EU, UK, UN, etc.). Drive data-informed decision … Qualifications 3-5 years of product management experience, ideally in fintech, payments, compliance, or risk-related domains. Experience working on financial crime prevention products (e.g., sanction screening, transaction monitoring, fraud detection, or AML solutions). Strong analytical mindset with the ability to interpret data, identify trends, and drive insights. A collaborative approach, with experience working cross-functionally across More ❯

extraction, joining, and transformation. Preferred Skills : Familiarity with unsupervised learning methods such as K-means, DBSCAN, PCA, or autoencoders, and their application in credit use cases like behavioral segmentation, fraud detection, or exploratory analysis Experience working in a start-up or scale-up environment with fast decision-making cycles. Exposure to alternative data sources (e.g., device data, psychometric 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 ❯

and machine learning engineers that work together to go from ideation to production. We own end-to-end data engineering pipelines and ML models that span multiple applications (think fraud detection, time series prediction of financial data, churn prediction and more). What you will do: Help shape what we build. Our current tech stack includes Airflow, Fivetran More ❯

SENIOR FRAUD ANALYST UP TO £50,000 REMOTE This role does not offer sponsorship. This is an exciting opportunity to join this company's Plastics Fraud Analytics team, who are responsible for the plastics fraud strategies, across all Debit and Credit portfolios. THE COMPANY This is an exciting new opportunity to work for a UK top … work for. This company also offer one of the industries most competitive benefits package. THE ROLE You will be doing the following daily: Optimise and monitor the performance of fraud detection and prevention systems, including associated models. Configure fraud systems to effectively manage fraud risk within predefined appetite and budget parameters. Conduct analytics to support the … setting, tracking, and reporting of the fraud loss budget. Prepare and deliver accurate, relevant fraud Management Information (MI) for governance committees, and provide updates in monthly forums. Assist plastics fraud analysts with analytics and MI support. Provide subject matter expertise (SME) to support and deliver business-wide change initiatives. Identify and implement continuous improvements to tools and More ❯

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. Who are we? Hi! We are Ravelin! We're a fraud detection company using … 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 ❯

regulated, high-impact environments , with a primary focus on highly regulated industries like financial services, banking, insurance etc . Your work will directly support critical use cases such as fraud detection, underwriting, anomaly detection , and other risk-sensitive operations. This is a hands-on, strategic role where explainability, model auditability, and operational integration are just as important … into enterprise systems—on-prem or in the cloud—ensuring low-latency performance, traceability, and security . Specialization in Regulated Use Cases Design AI solutions for complex applications including fraud monitoring, underwriting, risk scoring, AML, anomaly detection , and financial forecasting. Collaborate with domain experts and compliance teams to incorporate regulatory guardrails and auditability directly into the ML lifecycle. … building ML models for mission-critical applications where compliance, accuracy, and robustness are key. Hands-on experience in one or more of the following domains is highly valued: → Underwriting, fraud detection, anomaly detection, credit scoring, AML/KYC, operational risk. Technical Proficiency Strong command of Python and experience with ML/DL frameworks such as scikit-learn More ❯

leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to … actors looking to outwit your best ideas. Key job responsibilities • Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI • Translate product and CX requirements into measurable science problems and metrics. • Collaborate with product and tech partners and More ❯

advanced transaction monitoring systems and analytical tools. Your primary role will be to monitor merchant and cardholder activity to identify, investigate, and help mitigate risks related to money laundering, fraud, and non-compliance with card association rules. This is an exciting opportunity to develop your skills in a fast-paced fintech environment and contribute directly to Rapyd's success. … brand-damaging activities, ensuring all actions are documented and aligned with internal policies. Understand and respond effectively to notifications from external bodies, such as Card Schemes (Visa, Mastercard), regarding Fraud, AML, Credit, or Regulatory risks. Work closely and effectively with various internal teams, including Customer Success, Partnerships, Compliance, Finance, Operations, and Business Lines, to ensure a cohesive, customer-centric … external stakeholders (e.g., merchants, partners), providing guidance on risk-related matters and contributing to a culture of risk awareness. Requirements 1-2 years of experience in a transaction monitoring, fraud detection, AML, or a similar risk-focused role, ideally within the payments or financial services industry. Fluent in English, with exceptional verbal and written communication skills. Strong analytical More ❯

processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud detection, pricing, and customer experience initiatives. Design and implement data science solutions that align with regulatory standards and business objectives. Build and scale a high-performing data science More ❯

use of data, behavioral profiles, decision management, orchestration, Machine Learning, Artificial Intelligence, Simulation, and Optimization in SaaS offerings Experience in Consumer Lending, Credit Risk, Account Management, Retail Banking and Fraud is also a plus A Passion to learn and educate customers and FICO colleagues through presentations and conversations with strong soft skills Ability to travel up to 50% of … 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 ❯

team - one that makes better decisions, drives innovation, and delivers better business results. Overview: The 'Services within Mastercard' division is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Identity Solutions (a program within Services … plus) • Experience with Confluence, JIRA and Agile • Experience with customer facing, scalable, and performant RESTful APIs • Experience with monitoring tools and supporting high customer traffic APIs • An interest in fraud detection and security. Education/Experience: • Experience in delivering secure solutions in Financial/Fraud Services Sector is preferred. Broad understanding of Software Engineering Concepts and Methodologies More ❯

for data analytics, specifically with a strong understanding of Machine Learning (ML) and Artificial Intelligence (AI) models. Specialized knowledge of financial crime models (e.g., Anti-Money Laundering (AML) and fraud detection) is highly desirable, complemented by the ability to effectively manage a diverse portfolio of model and risk types. Proven proficiency in major programming languages and advanced data … Risk (FTSE 250) Hatfield, England, United Kingdom 4 weeks ago Senior Director of Governance, Risk, Compliance & Privacy London, England, United Kingdom 2 weeks ago Head of Compliance - International Credit & Fraud Risk and Global Credit and Fraud Operations London, England, United Kingdom 1 week ago Head of Governance, Risk and Compliance - Info Sec - 12 Month FTC London, England, United More ❯

can run at scale. Responsibilities: Driving adoption of Deep Learning systems into next-generation of C3 AI products. Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data More ❯