
501 - 1000 employees
Founded 2011
💳 Fintech
🔒 Cybersecurity
🤖 Artificial Intelligence
Fintech • Cybersecurity • Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
🔥 12 hours ago
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501 - 1000 employees
Founded 2011
💳 Fintech
🔒 Cybersecurity
🤖 Artificial Intelligence
Fintech • Cybersecurity • Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
• Lead a distributed team of Risk Consultants, Data Scientists, and Business Analysts across multiple client engagements, typically 6–8 active projects • Ensure delivery of fraud detection strategies, rules, models, and analyses aligned with client goals and Feedzai best practices • Translate complex business objectives into data-driven solutions and clear technical action plans • Guide integration and validation of Feedzai’s real-time and batch analytics into client environments • Support identification of misfit cases, performance improvements, and recommended enhancements • Collaborate with Engineering, Product, and Delivery on scope feasibility, performance requirements, and long-term strategy • Mentor team members, manage performance reviews, and support professional development • Stay current with fraud patterns, machine learning best practices, and real-world financial systems • Manage a portfolio of high-impact client projects and lead technical and strategic decision-making
• MSc or PhD in Computer Science, Engineering, Applied Math, Physics, Statistics, or another technical/quantitative discipline • Strong background in data science, fraud detection, or real-time decision systems • Hands-on experience with machine learning, data analysis, and scripting languages such as Python or R • Familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines • Experience managing technical teams in cross-functional delivery environments • Ability to navigate ambiguity, translate between technical and business needs, and prioritize effectively under pressure • Excellent communication and storytelling skills, with the ability to work with client SMEs and internal stakeholders • Experience in financial crime prevention, including fraud, AML, or risk strategy, is highly valued
• Training, connections, and one-on-one time with your manager during the first 30 days • Virtual or onsite colleague shadowing depending on work location • Access to extensive company and team information • Professional development through feedback, coaching, and career planning • Equal Opportunity Employer commitment and diverse workplace
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