Senior Fraud Data Scientist

Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision while minimizing false positives.

Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.

Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.

Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.

Partner with fraud risk, data engineers, IT, and business ...