Manager, Risk Data Science

Job Summary

A company is looking for a Manager, Risk Data Science.

Key Responsibilities

• Lead the Card Compromise Fraud Risk team and manage data scientists
• Develop and implement real-time fraud detection strategies and transaction risk monitoring
• Design experiments to assess customer experience impacts related to machine learning in risk strategies

Required Qualifications

• Minimum 6 years of industry experience, including 2+ years in a managerial role in risk management, specifically in fraud risks
• Bachelor's degree in a technical field; advanced degree preferred
• Strong knowledge of risk strategy fundamentals, particularly in fraud detection and prevention
• Experience in data analysis and statistical modeling using Python, SQL, or similar tools
• Expertise in machine learning techniques and managing data scientists effectively