Risk & AI Manager

At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year. 

Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

You:

We are looking for a highly motivated and technically strong leader to join our Customer Success organization as a Risk & AI Manager. You will lead a cross-functional team of Risk Consultants, Data Scientists, and Business Analysts who work side-by-side with some of the world’s largest financial institutions and merchants to help them fight fraud and unlock the full value of Feedzai’s platform.

Your team’s mission is to ensure clients extract measurable value from Feedzai by delivering optimized fraud strategies, machine learning models, business-aligned risk logic, and data insights. You will manage a portfolio of high-impact client projects, lead technical and strategic decision-making, and grow a team of domain experts and problem solvers who understand both the product and the business.

Your Day to Day: 

• Lead a distributed team of Risk Consultants, Data Scientists, and Business Analysts across multiple client engagements (typically 6–8 active projects);
• Ensure the delivery of fraud detection strategies, rules, models, and analysis that meet client goals and align with Feedzai's best practices;
• Translate complex business objectives into data-driven solutions and clear technical action plans;
• Guide the integration and validation of Feedzai’s real-time and batch analytics into client environments;
• Support your team in identifying misfit cases, scoping performance improvements, and proactively recommending enhancements;
• Collaborate with Engineering, Product, and Delivery to align on scope feasibility, performance requirements, and long-term strategy;
• Mentor your team, manage performance reviews, and support professional development through feedback, coaching, and career planning;
• Stay current with fraud patterns, machine learning best practices, and how they apply in real-world financial systems.

You Have and Know-How:

• 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;