Staff Fraud Decision Scientist
? Remote LATAM
Apply:
[email protected] (Subject: Application for Staff Fraud Decision Scientist)
About Zapp
Zapp is transforming cross-border money transfers by making them as simple as sending a WhatsApp message — providing immigrant communities with a faster, safer, and more accessible way to send money home.
About the Role
We're looking for a Staff Fraud Decision Scientist to own the design, performance, and continuous evolution of Zapp's fraud decision strategy.
You'll define how fraud decisions are made across the customer journey — from onboarding and payment authorization to post-transaction monitoring — balancing fraud prevention, approval rates, customer experience, and operational efficiency.
This is a highly cross-functional role working closely with Product, Engineering, Payments, Compliance, Data, and Risk Operations.
What You'll Do
• Own Zapp's fraud decision strategy and ensure controls work together as a scalable decision framework
• Monitor fraud, approval, chargeback, conversion,
and customer friction metrics to identify risks and opportunities
• Design, implement, and optimize fraud controls, decision logic, thresholds, and escalation strategies
• Analyze transaction, behavioral, device, and identity data to identify emerging fraud patterns and vulnerabilities
• Lead root cause analyses and implement both immediate and long-term fraud solutions
• Design and evaluate A/B tests, champion/challenger strategies, and controlled rollouts
• Build fraud KPIs, dashboards, monitoring frameworks, and reporting
• Quantify trade-offs across fraud losses, approval rates, operational workload, costs, and customer experience
• Partner with Engineering, Product, Data, and Risk Operations to implement fraud decisions effectively
• Influence technical and product roadmaps based on measurable business impact
• Document fraud strategies, decision logic, and governance processes
What We're Looking For
• 4+ years of experience i
📌 Staff Fraud Decision Scientist (Colombia)
🏢 Zapp
📍 Colombia