Senior Fraud Data Scientist
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About the Role
· Card Fraud Model Development & Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, ma.
Key Skills for This Role
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Overview
- · Card Fraud Model Development & Optimization: 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 and minimizing false positives.
- · Model Hosting & Deployment: Deploy models using SAS SFD and integrate with production systems.
- Ensure seamless hosting and scalability of models across multiple environments.
- · MLOps & Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models.
- Automate model retraining and performance tracking processes.
- · Evaluation & Testing: Conduct rigorous model validation, stress testing, and performance benchmarking.
- Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.
- · Collaboration & Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions.
- Communicate insights and recommendations to senior management and business stakeholders.
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