Machine Learning Fintech Services Fraud Prevention Engineer
Core
Design and scale innovative, secure systems to solve high-impact fraud prevention problems in payments.
Role type
Machine Learning Engineer (Fraud Prevention)
Builds
End-to-end ML solutions for payment fraud detection and risk management
Domain
Fintech / Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Graph/Network Analysis, Anomaly Detection, BigQuery, Model Monitoring
Preferred skills
AI-assisted development tools, Relational modeling techniques
Responsibilities
Design end-to-end ML solutions, Develop and evaluate risk models, Explore user behavior data for risk signals, Generate graph-based features, Monitor model performance and stability, Ensure data quality and modeling best practices
