Fraud Data Analyst
Core
Architect real-time defense strategies and optimize fraud detection rules to secure digital payments for 6 million users.
Role type
Senior Fraud Data Analyst (Risk/Payments)
Builds
Real-time decisioning engine, fraud mitigation strategies, and dynamic friction controls
Domain
Fintech, Digital Payments, Fraud Prevention
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Payment Fraud Dynamics, Real-time Decisioning, Rule Optimization, Data Analysis
Preferred skills
Machine Learning, Data Science, PySpark, GraphQL
Responsibilities
Design and deploy logic combining ML scores with velocity features for real-time decisions; Translate complex fraud patterns into high-performing rules; Proactively hunt for emerging fraud schemes and develop mitigation strategies; Partner with Product and Engineering to define analytical requirements; Calibrate ML models with heuristic rules; Analyze security measures to design dynamic friction strategies; Monitor rule efficacy and present data-driven recommendations to leadership
