Senior Fraud Data Scientist
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Key skills for this role
About the Role
Card Fraud Model Development & Optimization Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machi.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios
- Deploy models using SAS SFD and integrate with production systems
- Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring
- Conduct rigorous model validation, stress testing, and performance benchmarking
- Partner with fraud risk, data engineers, IT and business teams to deliver end to end solutions
Requirements
- Experience in card fraud model development and optimization
- Proficiency with SAS SFD and model deployment
- Experience with MLOps pipelines and automation
- Strong understanding of statistical and machine learning techniques
Full Job Posting
Role 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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