Fraud Prevention Analyst II
Job Location:
Buenos Aires - Argentina
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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.
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.
- 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.
- 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).
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.
Required Experience:
IC
About Company
Simplify your cross-border payment operations in high-growth markets. Send and receive funds locally, reaching new customers. One easy integration, unlimited secure transactions.
