Fraud Prevention Analyst II

Why Join dLocal
dLocal is the financial infrastructure powering global commerce in the worlds fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60 countries across emerging marketsmoving money where others see complexity. We dont just process payments; we are architects of payment ecosystems and partners in our customers expansion. Youll work alongside 1300 teammates from 40 nationalities and tackle global challenges from day one.

Whats the opportunity

As our Fraud Prevention Analyst II you will help us shape fraud strategy across industries balancing loss reduction with conversion and top-tier user experience. Youll decide when to approve or reject payments using data experimentation and close collaboration with Data Science to improve model features and thresholds. Youll own KPIs for key clients and verticals translating their needs into effective controls. A core part of your impact will be streamlining workflows and reducing manual review through smarter rules and tooling. Your work will directly lower chargebacks/claims while protecting revenue and customer trust.

What will I be doing

• Continuously analyze transactional data to identify emerging fraud patterns and attack vectors.
• Design test and iterate rules that minimize fraud while safeguarding conversion and UX.
• Collaborate with Data Science to enhance features refine model rules and set optimal scoring thresholds.
• Evaluate and integrate new datasets to improve data quality coverage and signal relevance.
• Own KPIs for key clients and industries; meet with their fraud teams to align on goals and solutions.
• Run experiments (A/B backtesting) to quantify rule/model impact and guide decisions.
• Build clear monitoring (dashboards/alerts) to track performance drift and false positives.
• Identify and drive automation opportunities that reduce manual reviews and errors (e.g. auto-tuning thresholds rule deployment pipelines).
• Partner with Engineering/Data to implement tooling integrations and reporting that accelerate decisioning and incident response.

What skills do I need

• Bachelors degree in Economics Engineering Statistics or related field.
• 3 years in fraud prevention or a closely related risk domain.
• Strong SQL and experience working with large datasets.
• Proven experience with AI/ML in fraud or risk scoring (features thresholds model-informed rules).
• Strong analytical presentation and communication skills; able to translate insights into action.
• Automation mindset: comfortable with tools and workflows; familiarity with AWS SageMaker Athena or QuickSight is a plus.
• Advanced English (mandatory).

What do we offer
Besides the tailored benefits we have for each country dLocal will help you thrive and go that extra mile by offering you:
- Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and depending on your role and location you will combine selfmanaged focus time with moments of inperson connection in our collaboration hubs.
- Fintech industry: work in a dynamic and ever-evolving environment with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Work From Anywhere: Team members can work while traveling for up to 3 months every year.

What happens after you apply

Our Talent Acquisition team is invested in creating the best candidate experience possible so dont worry you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also you can check out ourwebpageLinkedin andYoutubefor more about dLocal!

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1