Fraud Prevention Specialist
HybridBuenos Aires, Buenos Aires F.D., Argentina
Job Summary
Run proactive, hypothesis-driven analysis to identify new fraud patterns, coordinated attacks, and emerging threats across the Félix ecosystem. Build and maintain complex SQL queries to deep-dive suspicious activity, exposing fraud rings, mule networks, and account-takeover behavior. Monitor core metrics like chargeback ratio and false positive rates to detect anomalies early, then design, prototype, and validate detection rules before rollout. Deploy containment rules during active attacks, adjusting thresholds in real time as attacker behavior shifts, while documenting rule intent for auditability. Partner with Fraud Strategy, Data, ML, and Product teams to translate complex findings into actionable recommendations for technical and non-technical stakeholders. This high-agency role requires translating raw signals into insight that changes decisions and controls that stop attacks in progress.
Required Qualifications
- High proficiency in SQL, including navigating complex, unfamiliar schemas to extract insight under time pressure
- Proven experience identifying fraud patterns, preferably in Fintech, Payments, or Remittances
- Practical understanding of fraud controls and their tradeoffs — rule logic, thresholds, precision vs. recall, and the business cost of false positives
- Ability to translate data findings into clear, actionable language for both technical and non-technical audiences
- Strong ability to connect the dots across disparate data points to uncover organized fraud and systemic gaps
- A self-starter mindset: you operate with little guidance and have a strong bias for action
- Experience owning or tuning production fraud rules in a real-time decisioning environment
- Familiarity with risk platforms and vendor signals and chargeback/dispute lifecycles
- Exposure to ML-assisted fraud scoring and model/rule governance processes
- Knowledge on AI tools to enhance Fraud Investigative work
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