Data Science and Fraud Prevention Specialist

Há 4 dias

São Paulo, São Paulo, Brasil beBeeFraudAnalyst Tempo inteiro R$47.340 - R$59.700

We are seeking a detail-oriented individual with strong analytical skills to strengthen our fraud defenses by supporting process audits, rule tuning, and data-driven investigations.

This role focuses on reviewing logic, testing controls, and recommending improvements in collaboration with Fraud Technology, Decision Sciences, and Anomaly Detection teams.

The ideal candidate will work closely with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives, as well as design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring.

Responsibilities:
  • Assist in auditing and validating existing fraud rules configured in the Accertify platform
  • Support quality assurance reviews of RPAs related to fraud monitoring and decision-making
  • Collaborate with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives
  • Help design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring
  • Document and report gaps or inefficiencies in current detection logic or process automations
  • Perform basic root cause analysis of anomalous behavior and support process remediation
  • Participate in fraud case reviews, helping to translate operational observations into structured findings

This is an exciting opportunity for students pursuing a degree in Business Analytics, Finance, Information Systems, Criminal Justice, or a related field. The successful candidate will possess above average academic track records, strong attention to detail, and proficiency in data analysis tools and visualization platforms.

We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, veteran's status, age, disability status, genetics, or any other protected category.

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