Fraud Prevention Team Lead

Nodi; Buenos Aires; Hybrid; ARS 139,018,000 - 200,803,000; Full time

Job summary

dLocal is seeking a Team Leader for its Fraud Prevention Buyer Strategy team in Buenos Aires. You will oversee a merchant portfolio, monitor fraud and conversion, and lead analysts to translate priorities into coordinated actions.

You will champion AI-enabled automation and drive scalable process improvements to reduce manual work and increase capacity. You will guide collaboration with Data Science, IT, and Commercial teams, set actionable objectives, and build solutions that balance fraud

Qualifications

• Bachelor’s degree in Economics, Engineering, Statistics, or a related field.
• Experience in fraud prevention, including managing fraud scores.
• Strong analytical skills with data-driven decision making.
• Proficiency in SQL and Python for data analysis.
• Hands-on experience with AI tools and ML concepts.
• Proven track record of leading and coaching teams.
• Ability to identify automation opportunities and scale processes.

Responsibilities

• Oversee a portfolio of merchants, monitoring fraud and conversion performance.
• Lead, coach, and support a team of analysts.
• Set priorities with Data Science, IT, and Commercial.
• Drive AI-based automation initiatives and implement solutions.
• Identify repetitive processes and drive workflow improvements.
• Communicate findings and recommendations across Fraud Prevention and partner teams.

Skills

Fraud prevention

Analytics

SQL

Python

AI tools / ML

Leadership

Automation mindset

Education

Bachelor’s degree in Economics/Engineering/Statistics

Tools

SQL

Python

AI platforms

Job description

Job Type Full-time

Seniority Specialist

Workplace Hybrid

Posted September 29, 2026

Interested in this role?

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.