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Risk&AI Manager

Work from home Full-time role Hiring

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;
  • 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 — able to work with both client SMEs and Feedzai's internal stakeholders;
  • Experience in financial crime prevention (fraud, AML, risk strategy) is highly valued;

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us! #LI-Remote #LI-BX1

Your First 30-Days at Feedzai

You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!

Life at Feedzai Instagram

Feedzai Culture

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.

MSc or PhD in a technical/quantitative discipline; strong data science, fraud detection, or real-time decision systems background; hands-on machine learning and Python or R; big data platforms like Spark or Hadoop; experience managing technical teams.

Key Responsibilities

  • leading cross-functional teams
  • delivering fraud strategies
  • mentoring team members

Skills & Tools

Python, R, Spark, Hadoop

Job Details

  • Category: Data and Analytics
  • Seniority: Senior Level
  • Commitment: Full Time
  • Workplace: Remote — Colombia
  • Languages: English

About Feedzai

A technology company using trusted AI to detect and prevent financial crime, fraud, and money laundering at scale. — Industry: Information Technology

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