About The Position

The Credit and Fraud Risk (CFR) team at American Express employs 3,500 global professionals focused on managing credit, fraud, and banking risk, optimizing risk trade-offs while delivering exceptional customer experiences. CFR’s work spans the entire customer lifecycle, supporting core processes like credit underwriting, fraud detection, servicing, and product development while also maintaining regulatory compliance and operational integrity. CFR leverages advanced analytics, data science, and AI/ML techniques to drive risk modeling, personalize decisions, and enhance customer experiences. As a Data Science Manager, you will support the development of predictive models used across credit, fraud, and marketing to inform key business decisions. They apply statistical techniques and machine learning to real-world datasets, contributing to innovation in areas like customer personalization, risk management, and regulatory compliance.

Requirements

  • Masters degree
  • Experience in Data Science
  • Experience in Credit and Fraud Risk
  • Experience with statistical techniques
  • Experience with machine learning

Responsibilities

  • Support the development of predictive models used across credit, fraud, and marketing to inform key business decisions.
  • Apply statistical techniques and machine learning to real-world datasets.
  • Contribute to innovation in areas like customer personalization, risk management, and regulatory compliance.

Benefits

  • Competitive base salaries
  • Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counselling support through our Healthy Minds program
  • Career development and training opportunities
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service