…the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models…

…PCI compliance to local banking regulations - Real-time Risk Management: Create sophisticated fraud detection and prevention systems specifically tailored for recurring transaction patterns - Customer…

…for fraud, trust & safety, risk, identity, payments, abuse prevention, or other adversarial domains - 2+ years working with machine learning, AI systems, decision engines, or…

…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…

…We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal…

…Risk Management), ICA International Diploma in Financial Crime Risk, or technical certifications in Machine Learning or Big Data architectures. - Direct experience managing financial crime…

…trends, regulatory requirements, risk management, fraud detection, customer analytics, and AI-driven innovation. Collaborate closely with Product Management, Engineering, Customer Success, and Consulting teams…

…10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains. Experience with probabilistic…

…and fraud business metrics, such as provisioning approval and step-up rates, fraud rate, and account takeover Working knowledge of how machine learning is…

…Data Science, machine learning or predictive analytics experience. Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks…

…Technology group, we build the detection systems (machine learning, and increasingly agentic AI) that defend Amazon against theft, fraud, abuse, and waste across the…

…Reporting to our safety Group Product Manager, you'll create the vision, build the systems, and lead the cross-functional strategy that detects and…

…Actively leading the design, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud. Technical…

…The Role As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will design, build, and operate production ML decision systems that…

…Technology group, we build the detection systems (machine learning, and increasingly agentic AI) that defend Amazon against theft, fraud, abuse, and waste across the…

…or customer trust processes without turning engineering into a compliance machine - Have built security observability, alerting, detection pipelines, or incident response workflows - Have worked…

…Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering). Familiarity with data wrangling…

…to enhance fraud detection and next-generation risk prevention systems. Key job responsibilities Own end-to-end development of machine learning models for large…

…What you’ll do As a machine learning engineer for Stripe Capital, you'll be responsible for designing, building, training, evaluating, deploying, and owning…

…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…

…the technology industry in software engineering, data science/machine learning, developer relations, technical partnerships, solutions architect, product management including 3+ years of direct hands…

…The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust…

…This role requires managing and delivering complex, cross-functional risk projects in partnership with Product, Engineering, Risk and Compliance teams. This hybrid role is…

…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…

…Apply analytics and machine learning approaches to model malicious behavior, improve detection accuracy, and reduce false positives. Strengthen platform defenses through rate limiting, automated…