Fraud Prevention Team Lead

What’s the opportunity? 

Join dLocal’s Fraud Prevention Buyer Strategy team, responsible for the fraud strategy behind buyer-side card transactions across dLocal’s merchant portfolio — balancing fraud performance with conversion so the business can grow safely. 

As Team Leader, you’ll set the direction for a portfolio of merchants and lead the analysts working on it, partnering closely with Data Science, IT, and Commercial to turn the team’s priorities into coordinated initiatives. 

You’ll also champion AI-enabled automation and process improvements that cut manual work and scale the team’s capacity.

What will you be doing?

• Oversee a portfolio of merchants, monitoring fraud and conversion performance and guiding actions to keep results on target.
• Lead, coach, and support a team of analysts, helping them prioritize work and develop their fraud-prevention capabilities.
• Set priorities with Data Science, IT, and Commercial, translating dLocal’s needs into clear objectives and coordinated initiatives.
• Drive AI-based automation initiatives — both by guiding the team’s projects and by building and implementing solutions yourself.
• Identify repetitive or error-prone processes and work with relevant partners to implement tools, scripts, integrations, or workflow improvements.
• Use data and performance trends to assess fraud strategies, identify opportunities for improvement, and inform decisions.
• Communicate recommendations and priorities clearly, building effective working relationships across Fraud Prevention and partner teams.
  
  

What skills do you need?

• Bachelor’s degree in Economics, Engineering, Statistics, or a related field.
• Experience in fraud prevention, including managing fraud scores.
• Strong analytical skills and the ability to use data to monitor performance, investigate trends, and support decisions.
• Proficiency in SQL for querying and analyzing data; knowledge of Python or another programming language is a plus.
• Hands-on experience with AI tools and machine-learning concepts — able to identify opportunities and build solutions yourself, not only guide others.
• A proven track record leading and coaching teams, with the ability to guide analysts and collaborate across teams.
• An automation mindset: able to spot opportunities to reduce manual effort and improve process quality and scalability.
• Advanced English (mandatory).
  
  

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