26 to 36 of 36 Remote Fraud Detection Jobs

Typical projects 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. Designing and evaluating A/ 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 More ❯

and deploying Identity and Access Management systems. Familiarity with Ping Identity's PingOne technologies such as PingOne for Customers, PingOne for Workforce, PingID, as well as their Davinci (Orchestration), Fraud Detection, Risk Management, MFA, and Identity Verification capabilities. Experience with IAM concepts such as Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Zero Trust, and Passwordless. More ❯

assessment for MSME customers from a bank or fintech. Strong knowledge of open banking data, financial accounting and analysis. Direct experience with UK SME credit underwriting, including familiarity with fraud detection techniques and red flags in lending, including use of transaction data or pattern-based analysis. Analytical thinking, detail orientation and ability to quickly understand new problems and More ❯

consumer streaming service is a great advantage. Nice to Have Experience with AI-driven ad personalization and revenue optimization . Knowledge of machine learning models for ad targeting and fraud detection . Familiarity with first-party data strategies and contextual advertising in a post-cookie world. Why Join the Media advertising team? Architect the future of mobile Ad More ❯

consumer streaming service is a great advantage. Nice to Have Experience with AI-driven ad personalization and revenue optimization . Knowledge of machine learning models for ad targeting and fraud detection . Familiarity with first-party data strategies and contextual advertising in a post-cookie world. Why Join the Media advertising team? Architect the future of mobile Ad More ❯

in the heart of Berlin. And we're looking for more talented and committed people to join us on our journey! ABOUT THE ROLE ️ Are you a payments and fraud monitoring expert who thrives in fast-paced environments where every transaction tells a story? Do you want to be part of a team that's building real-time defenses … to help drive that mission forward. This is a remote role , open to candidates based in Europe or Cyprus , with a fixed daytime shift - ideal for individuals experienced in fraud detection, real-time payment monitoring, and incident management. Shift information : This role follows a fixed schedule , five days per week , including both weekdays and weekends as part of … DO Payments Monitoring & Real-Time Alert Response Monitor live card transactions, payment flows, and behavioral patterns to identify suspicious activity such as phishing, brute force attacks, velocity anomalies, and fraud rings . Respond to live fraud and system alerts, triage incidents, and execute rapid investigations. Define and improve alert thresholds, logic, and rule-based or statistical models to More ❯

the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills in predictive modelling will make a real-world impact. You’ll More ❯

elite engineering team that supports over 259 billion transactions annually across more than 200 countries. You'll be working on next-generation systems for real-time transaction processing and fraud detection , helping to shape the technology used by global household names such as Apple, Facebook, FedEx, and Nike . This is more than just a tech job - it … skills and a collaborative mindset Agile development experience in a team setting Bonus Skills (nice to have) Experience with big data tools like Hadoop, Spark, or Scala Exposure to fraud, payments , or financial services platforms Understanding of cloud-native development and container orchestration Knowledge of test-driven development and modern code quality practices What's on Offer Unrivalled pension 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 ensure both our clients and their customers do not fall victim to fraud. And we have fun in the meantime! We are a friendly … management Grow the breadth of our relationship with the partnerships you manage Manage and plan regular workshops with partners Keep an up to date knowledge of the payments and fraud industry Proactively seek out growth opportunities Requirements A minimum of 2 years of partnership or account management experience Highly skilled communicator Strong presentation skills, both verbal and written Great … account Experience in identifying, developing, negotiating, and closing deals Proven ability to influence others and lead client engagements Proven experience in growing enterprise sized client accounts Nice to haves Fraud, payments, cloud computing, API or data science knowledge Experience in working with B2C Companies, Startups (Pre/Post IPO), Scale Ups Benefits Flexible Working Hours & Remote-First Environment - Work More ❯

convert funds seamlessly Build modular systems that enable rapid expansion into new markets with diverse regulatory and operational requirements Implement critical compliance functionality, including KYB, identity verification, AML, and fraud detection Automate operational workflows and partner failover systems to minimise downtime and support overhead Use data and insights to drive product and engineering decisions Mentor engineers, drive technical More ❯