26 to 42 of 42 Remote Fraud Detection Jobs

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like More ❯

designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like 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 Analyzing and improving digital marketing and consumer journeys across our businesses Designing and More ❯

years’ experience with transaction and merchant monitoring. Our client, a dynamic and rapidly growing UK-based FinTech company, is seeking an experienced Transaction Monitoring Analyst to join their internal fraud and AML team. This is a unique opportunity to lead a small but critical function at the forefront of financial crime prevention. As a senior analyst, you will be … to the continuous improvement of the team's processes and systems. Duties of the Transaction Monitoring Analyst to include: Complex Case Investigation: Conduct in-depth investigations into high-risk fraud and money laundering alerts, using advanced analytical techniques and open-source intelligence to build comprehensive case narratives. SAR Preparation: Draft and finalize thorough Suspicious Activity Reports (SARs) for regulatory … to the refinement of internal policies and procedures. Requirements for the successful Transaction Monitoring Analyst to include: Candidates must have 3-5+ years of hands-on experience in fraud detection, transaction monitoring, or AML compliance within financial services, with a proven track record of handling both fraud and AML investigations from start to finish. Experience drafting More ❯

the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and AI-driven scams. This is a rare opportunity to be a foundational hire, shaping the future of a product designed to protect hundreds of millions of users. We … are building two core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant, and trusted by regulators and customers. More ❯

transformation Familiar with data and AI buzzwords and able to ground them in government use cases: Data governance (compliance, ethics, transparency). Data engineering & integration across silos. Analytics for fraud detection, citizen services, and operational efficiency. AI/ML applied in policy, security, or service delivery contexts. A natural communicator, ideally an extrovert techie who enjoys client interaction. More ❯

transformation Familiar with data and AI buzzwords and able to ground them in government use cases: Data governance (compliance, ethics, transparency). Data engineering & integration across silos. Analytics for fraud detection, citizen services, and operational efficiency. AI/ML applied in policy, security, or service delivery contexts. A natural communicator, ideally an extrovert techie who enjoys client interaction. More ❯

transformation Familiar with data and AI buzzwords and able to ground them in government use cases: Data governance (compliance, ethics, transparency). Data engineering & integration across silos. Analytics for fraud detection, citizen services, and operational efficiency. AI/ML applied in policy, security, or service delivery contexts. A natural communicator, ideally an extrovert techie who enjoys client interaction. More ❯

Get AI-powered advice on this job and more exclusive features. At FRISS, we're on a mission to revolutionize the insurance industry. Our software helps insurers worldwide detect fraud and assess risks automatically, paving the way for honest and transparent insurance practices. Our dream? To become the global trusted standard for fair insurance. To help us realize this … hear from you! Apply now via to become our new colleague at FRISS and make a meaningful impact on our success. About FRISS: FRISS is a leading provider in fraud detection and risk mitigation solutions for the insurance industry. Founded in 2006, FRISS holds its head office in Utrecht, The Netherlands, with a global presence and global workforce More ❯

ll lead a team of four data scientists focused on improving the customer experience across a dynamic online marketplace. You’ll work closely with teams across finance, shipping, and fraud, using data to uncover opportunities, optimise decision-making, and enhance how customers interact with the platform. The ideal candidate will combine hands-on technical skills with proven experience leading … scientists. Delivering data science projects that support customer and marketplace initiatives. Applying advanced analytics and machine learning to areas such as customer behaviour, marketing performance, supply chain optimisation, or fraud detection. Collaborating cross-functionally with finance, operations, and product teams to ensure insights drive action. Staying hands-on where needed to guide technical delivery and uphold quality. What we More ❯

ll lead a team of four data scientists focused on improving the customer experience across a dynamic online marketplace. You’ll work closely with teams across finance, shipping, and fraud, using data to uncover opportunities, optimise decision-making, and enhance how customers interact with the platform. The ideal candidate will combine hands-on technical skills with proven experience leading … scientists. Delivering data science projects that support customer and marketplace initiatives. Applying advanced analytics and machine learning to areas such as customer behaviour, marketing performance, supply chain optimisation, or fraud detection. Collaborating cross-functionally with finance, operations, and product teams to ensure insights drive action. Staying hands-on where needed to guide technical delivery and uphold quality. What we More ❯

Vice President of Sales – EMEA Join a global leader in fraud prevention and financial technology as VP, Sales – EMEA, where you’ll take ownership of a high-performing regional team and lead the next chapter of growth across Tier 1 financial services and banking clients. This is a strategic, high-impact role reporting into the CRO – ideal for a … solid team to the next level of performance, culture, and cross-regional alignment. Key Responsibilities: Lead the EMEA sales organisation, managing both new business and existing client growth across fraud prevention, 3DS, and authentication solutions. Set and execute EMEA go-to-market strategy, including pipeline build, forecast accuracy, and account planning. Coach and develop a team of experienced enterprise … support global account coordination. Champion sales excellence, process discipline, and enterprise deal strategy across the region. Ideal Candidate Profile: 15+ years in B2B tech sales, with 6+ years in fraud, authentication, or financial crime prevention solutions. Proven success in enterprise sales leadership within PE-backed or fast-growth environments. Strong leadership presence with ability to coach, unify, and inspire More ❯