Fraud Data Analyst
Core
Architect real-time defense strategies for digital payments by combining ML scores with velocity features to prevent fraud.
Role type
Senior IC fraud data analyst (payments/risk)
Builds
Real-time decisioning engine, fraud mitigation rules, dynamic friction strategies
Domain
Fintech, digital payments, fraud prevention
Deliverable
production ML models | product features
Required skills
SQL, Python, payment fraud dynamics, real-time decisioning environments
Preferred skills
Machine Learning, Data Science, PySpark, GraphQL
Responsibilities
Design and deploy logic for real-time decisioning engine; Translate complex fraud patterns into high-performing rules; Hunt for emerging fraud schemes and create mitigation strategies; Partner with Product and Engineering on analytical requirements; Calibrate ML models with heuristic rules; Analyze security measures to optimize user experience; Monitor rule efficacy and present data-driven recommendations to leadership
