Fraud Prevention Specialist
HybridBogotá, Bogota D.C., Colombia
Job Summary
Conduct hypothesis-driven analysis to identify emerging fraud patterns, mule networks, and account takeovers across the Félix ecosystem using complex SQL queries. Monitor core metrics like chargeback ratios and false positive rates to detect anomalies early, then design and deploy containment rules during active attacks while balancing fraud capture against customer friction. Partner with Fraud Strategy, Data, and Product teams to translate findings into detection logic and clear recommendations for leadership, continuously tuning rule performance to reduce decay and over-triggering. Operate with high agency to move quickly from hypothesis to containment, ensuring decisions remain auditable and reversible.
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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