Fraud Prevention Analyst II

dLocal
Montevideo, Buenos Aires, São Paulo
Workplace: HybridFull timeFunction: Communications, PR & CommunityEducation: bachelorsSkills: ["Analytical thinking","Presentation skills","Communication skills","Automation mindset","Collaboration"]

Shape fraud prevention strategy by deciding when to approve or reject payments using data, experimentation, and close collaboration with Data Science. Own KPIs for key clients and verticals, translate needs into effective controls, and streamline workflows to reduce manual review through smarter rules and tooling. Continuously analyze transactional data for emerging fraud patterns, run A/B tests and backtesting, and build monitoring dashboards to track performance, drift, and false positives.

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FursaFursa
dLocal
dLocal
1 day ago

Fraud Prevention Analyst II

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Shape fraud prevention strategy by deciding when to approve or reject payments using data, experimentation, and close collaboration with Data Science. Own KPIs for key clients and verticals, translate needs into effective controls, and streamline workflows to reduce manual review through smarter rules and tooling. Continuously analyze transactional data for emerging fraud patterns, run A/B tests and backtesting, and build monitoring dashboards to track performance, drift, and false positives.
Location: Montevideo, Buenos Aires, São Paulo
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Continuously analyze transactional data to identify emerging fraud patterns and attack vectors.
  • •Design, test, and iterate rules to minimize fraud while protecting conversion and user experience.
  • •Collaborate with Data Science to enhance features, refine model rules, and set optimal scoring thresholds.
  • •Own KPIs for key clients and industries; align goals and solutions with client fraud teams.
  • •Build monitoring dashboards/alerts for performance, drift, and false positives, and drive automation to reduce manual reviews and errors.

Pay and Benefits

Perks:Annual BonusSocial Budget

Key Requirements

  • •Bachelor’s degree in Economics, Engineering, Statistics, or a 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).
  • •Advanced English (mandatory).
Experience:Fraud preventionRiskFintechPayments
Education:Bachelor's in Economics, Engineering, Statistics (or related field)
Skills:Analytical thinkingPresentation skillsCommunication skillsAutomation mindsetCollaboration
Languages:English
Tech Stack:SQLAI/MLA/B testingBacktestingDashboardsAWS SageMakerAthenaQuickSight

Company Brief

dLocal
Provides cross-border payments and financial infrastructure enabling global merchants to collect payments, manage payouts, and reconcile transactions across emerging markets through a unified payments platform.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Montevideo, Uruguay
Founded: 2016
WebsiteLinkedIn