23 of 23 Remote Permanent Fraud Detection Jobs

and hotel stays to groceries and daily commutes, Avios allows members to turn their everyday spending into meaningful rewards. The opportunity We're looking for an experienced Head of Fraud to lead the enterprise fraud strategy across IAG Loyalty. You'll be responsible for designing and delivering a unified fraud risk management strategy and framework while enabling … meet the unique needs of each business. You'll work closely with the Chief Information Security Officer (CISO) and the Head of Legal Operations and Compliance, ensuring alignment across fraud, cyber security, data privacy, and risk management functions. This role is based out of our London office. We call our approach to hybrid working The Blend - it's about … of our other office or partner locations, based on your role and 'to do' list. What you'll get up to Strategic Leadership: Define and lead the group-wide fraud risk management strategy and operating model. Act as the primary advisor to the CFO and executive leadership on fraud risks, threats, and mitigation across all types of fraud. More ❯

Overview Vanguard Technical Lead - AWS Engineering (Anti-Fraud Engineering Team) Location: London or Manchester (Hybrid) About Vanguard Vanguard is an investment company founded in 1975 on the idea that a company should manage funds in the best interests of its clients. We offer low-cost, uncomplicated investing and have grown to serve more than 50 million investors worldwide. About … the Role We are seeking a highly skilled and motivated Technical Lead to drive the development and modernization of our transaction monitoring and fraud detection systems. You will lead a cross-functional engineering team focused on building scalable, secure, and intelligent solutions to detect and prevent fraud and money laundering across our global platforms. This role includes … direct line management of the Anti-Fraud Engineering team (currently five), with responsibility for their development, performance, and wellbeing. As the team matures, you will help shape the team's structure and capabilities as business needs evolve. In return we offer an attractive base salary, annual performance bonus paid in January, Partnership bonus paid in June, and competitive benefits. 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. 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 ❯

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, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and … 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 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. 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, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and … 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 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. More ❯

uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims, customer retention, fraud detection, and customer servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into … trends in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key More ❯

years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies. About the Role As a senior member of Ramp's Fraud Operations team, you will play a pivotal role in safeguarding the company and its customers against fraudulent activities. This position involves analyzing new account applications, monetary and non-monetary … transaction activity to identify and mitigate risks associated with first-party and third-party fraud. We are seeking a detail-oriented professional who is adept at applying fraud detection techniques and leveraging data sources and tools to develop logical courses of action. In addition to technical acumen, this role requires strong interpersonal and communication skills to interact effectively … we continue to scale. Ideal candidates are self-starters who are energized by ambiguity and love creating clarity. What You'll Do Analyze new account applications to detect potential fraud patterns, including identity theft, synthetic identities, and other high-risk behaviors. Evaluate transactional activity, identifying anomalies and irregularities indicative of fraudulent behavior. Thoroughly investigate alerts of first-party and More ❯

claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage 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 ❯

impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's … be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like … personalisation, demand forecasting, workforce management, detection systems. We're talking about Deep Learning, Graph neural networks, transformers - you'll have space to design the architecture that will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You More ❯

impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's … be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like … personalisation, demand forecasting, workforce management, detection systems. We're talking about Deep Learning, Graph neural networks, transformers - you'll have space to design the architecture that will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You 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 ❯

when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a Data Engineer with us, you'll help build advanced technology solutions and implement data engineering activities on some of More ❯

solutions, particularly in areas such as data analytics, AI, and automation, within the insurance sector. Experience in implementing AI-driven solution within the general insurance lifecycle (e.g., claims automation, fraud detection, risk assessment, etc.) is highly desirable. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's what connects us. That More ❯

will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java/Python More ❯

BI Comfortable owning roadmap-facing insights Cross-functional communicator – especially with non-technical teams Nice to Have: Experience with freemium models or conversion funnels Familiarity with Trust & Safety or fraud detection signals Background in social platforms or dating apps a bonus Why You’ll Thrive Here Direct line to product decisions Truly collaborative global team Freedom to own More ❯

BI Comfortable owning roadmap-facing insights Cross-functional communicator – especially with non-technical teams Nice to Have: Experience with freemium models or conversion funnels Familiarity with Trust & Safety or fraud detection signals Background in social platforms or dating apps a bonus Why You’ll Thrive Here Direct line to product decisions Truly collaborative global team Freedom to own More ❯

the design and implementation of production-grade AI systems that enhance how human feedback is collected, validated, and utilised across our platform. Solve Core Challenges: Develop sophisticated systems for fraud detection, quality assurance, and intelligent participant-to-task matching using techniques like vector search and advanced profile representation. Innovate with LLMs: Create and deploy AI agents and systems More ❯