Fraud Prevention Analyst II: Data‑Driven Risk & Automation

dLocal; Buenos Aires; Presencial; ARS 1.800.000 - 2.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedules

Referral bonus program

Social budget

dLocal Houses

Descripción de la vacante

dLocal is seeking a Fraud Prevention Analyst II in Buenos Aires to shape fraud strategy across industries, balancing loss reduction with conversion and user experience. You will design rules, work with Data Science, own KPIs for key clients, run experiments, and build monitoring dashboards to reduce fraud while protecting revenue and trust.

This role sits in a dynamic fintech environment, offering cross-functional collaboration, automation opportunities, and a chance to advance fraud analytics

Formación

• Bachelor’s degree in Economics, Engineering, Statistics, or related field.
• 3+ years in fraud prevention or risk domain.
• Strong SQL and experience with large datasets.
• Proven experience with AI/ML in fraud or risk scoring (features, thresholds).
• Strong analytical, presentation, and communication skills; translate insights into action.
• Automation mindset; familiarity with AWS SageMaker, Athena, or QuickSight is a plus.
• Advanced English (mandatory).

Responsabilidades

• Continuously analyze transactional data to identify emerging fraud patterns and attack vectors.
• Design, test, and iterate rules to minimize fraud while safeguarding conversion and UX.
• Collaborate with Data Science to enhance features, refine model rules, and set scoring thresholds.
• Evaluate and integrate new datasets to improve data quality and signal relevance.
• Own KPIs for key clients and industries; align with their fraud teams.
• Run experiments (A/B, backtesting) to quantify rule/model impact.
• Build dashboards and alerts to monitor performance, drift, and false positives.
• Identify automation opportunities to reduce manual reviews and errors.
• Partner with Engineering/Data to implement tooling, integrations, and reporting.

Conocimientos

SQL

Data analysis

Fraud detection

AI/ML fraud

English (Advanced)

Educación

Economics/Engineering/Statistics degree

Herramientas

AWS SageMaker

AWS Athena

AWS QuickSight

Descripción del empleo

dLocal is seeking a Fraud Prevention Analyst II in Buenos Aires to shape fraud strategy across industries, balancing loss reduction with conversion and user experience. You will design rules, work with Data Science, own KPIs for key clients, run experiments, and build monitoring dashboards to reduce fraud while protecting revenue and trust.

This role sits in a dynamic fintech environment, offering cross-functional collaboration, automation opportunities, and a chance to advance fraud analytics