Data Science Analyst – Credit & Fraud Risk

About the role

The Credit and Fraud Risk (CFR) Analytics & Data Science Center of Excellence at American Express is looking for a Data Science Analyst. You will develop, deploy and validate predictive models that drive profitable decisions across risk, fraud and marketing while working with one of the most data‑driven teams in the industry.

Key responsibilities

• Design, build and validate predictive models that support risk, fraud and marketing decisions.
• Analyze large data sets to extract business insights and propose innovative solutions.
• Leverage Amex’s closed‑loop network to make decisions more intelligent and relevant.
• Stay informed on emerging trends in finance, payments and analytics.
• Communicate findings clearly to leadership and cross‑functional partners.

Required profile

• MBA, Master’s in Economics, Statistics, Computer Science or a related field.
• 0‑30 months of experience in analytics.
• Strong ability to drive project deliverables and achieve business results.
• Excellent communication and interpersonal skills.
• Self‑starter who can work independently on complex, unstructured initiatives.

Required skills

What we offer

• Opportunity to work with top leaders in analytics, data science and machine learning.
• Exposure to real‑world business problems impacting millions of customers.
• Access to cutting‑edge tools and technologies in a supportive environment.