Why should you join dLocal?

dLocal helps the world’s largest companies collect payments across 40 countries in emerging markets. Global brands count on us to increase conversion rates and make payment expansion simple. As both a payments processor and a merchant of record in the markets where we operate, we enable our merchants to enter the fastest-growing emerging markets worldwide.

When you join us, you become part of a global team that makes it all happen. At dLocal, you’ll work with 1,000+ teammates from 30+ nationalities and build an international career that affects millions of people’s daily lives. We are builders who take on challenges, we put customers first, and if that’s you, we’re confident you’ll thrive here.

What’s the opportunity?

As Fraud Analyst III – Tactics, you will lead and define the fraud prevention strategy for complex industries and key global merchants. You will own the decision-making process for our most difficult cases, optimizing the balance between reducing risk (including chargebacks), protecting user experience, and driving business growth. You will connect data insights to commercial goals, help shape an AI-first culture, and identify ways to make fraud prevention a revenue-enabling function.

What will I be doing?

– Lead the discovery of complex fraud patterns through proactive data analysis, spotting emerging threats before they impact the business.
– Create and standardize strategic rules and automated frameworks that can scale across industries and teams.
– Mentor junior and mid-level analysts, serving as a technical reference and promoting continuous learning and excellence.
– Collaborate with Data Science to improve machine learning models, proposing new features and optimizing scoring thresholds.
– Own KPIs for major industries, balancing fraud targets with conversion and revenue goals, and delivering clear “data stories” to senior stakeholders.
– Drive automation and AI initiatives by exploring new tools (such as AI agents or LLMs) to reduce manual review and increase the team’s operational speed.

What skills do I need?

– Bachelor’s degree in Economics, Engineering, Statistics, or a related field.
– 3–5+ years of experience in fraud prevention, risk management, or high-scale data-driven roles.
– Strong experience with large databases; SQL is required.
– Knowledge of Python or a similar data-focused language is a plus.
– An automation and AI mindset: genuinely curious and eager to explore new technologies (LLMs, automated agents, or workflow tools) to solve traditional fraud challenges and improve efficiency.
– Experience with data management tools such as AWS Athena, Sagemaker, or Quicksight is a bonus.
– Strategic communication skills: ability to translate complex data findings into clear, practical business recommendations for diverse audiences.
– Proactive leadership, teamwork, and a natural problem-solver who enjoys experimenting with new ways of working.
– Fluent written and spoken English.

What do we offer?

In addition to tailored benefits by country, dLocal will help you thrive and go the extra mile by offering:

– Flexibility: flexible schedules and a performance-driven culture.
– Fintech industry: work in a fast-changing environment with plenty of room to build and expand your creativity.
– Referral bonus program: refer someone great for a role and be rewarded.
– Social budget: a monthly budget to relax with your team (in person or remotely) and strengthen connections.
– dLocal Houses: want to rent a house for one week anywhere in the world and cowork with your team? We’ve got you covered.

Flexibility in how you work

We prioritize impact and productivity over fixed hours. Teams have flexible schedules and—depending on your role and location—you’ll balance self-managed focus time with opportunities to connect in person at our collaboration hubs.

What happens after you apply?

Our Talent Acquisition team is committed to providing the best possible candidate experience, so you can expect to hear from us. We will review your CV and keep you updated by email at every stage of the process.

You can also learn more about dLocal on our webpage, LinkedIn, and YouTube.