Fraud Data Analyst - Barcelona
Core
Architect real-time fraud defense strategies and optimize decisioning logic for a digital payment platform.
Role type
Fraud Data Analyst
Builds
Real-time decisioning engine and fraud mitigation strategies
Domain
Fintech / Digital Payments
Deliverable
production ML models
Required skills
SQL, Python, Payment fraud dynamics, Real-time decisioning environments
Preferred skills
Machine Learning, Data Science, PySpark, GraphQL
Responsibilities
Design and deploy logic combining ML scores with velocity features for millisecond 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
