Analyst-Data Science
American Express · Posted Oct 1
Banking, credit card, payment network, and travel services
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About the role
The Credit and Fraud Risk (CFR) Analytics & Data Science CoE team at American Express leverages data and digital advancements to improve risk management, enable commerce, and drive innovation across credit, fraud, and marketing decisions. The team deploys analytics and machine learning to help the company grow profitably while maintaining industry-low credit loss rates and a world-class customer experience. This role involves development, deployment, and validation of predictive models and using those models in economic logic to enable profitable decisions.
What you will do
- Understand the core business of AXP and the levers behind various decisions
- Analyze large amounts of data to derive business insights and create innovative solutions
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solution
- Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
- Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
Skills used in this role
What the employer is looking for
- MBA, master’s degree in economics, Statistics, Computer Science Or related fields
- 0-30 months of experience in analytics, big data workstreams.
- Ability to work effectively in a team environment
- Ability to drive project deliverables to achieve business results
- Strong communication and interpersonal skills
- Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
- Ability to Integrate with Cross-Functional Business Partners Worldwide
- SAS, R, Python, Hive, Spark, SQL
- Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
Preferred qualifications
- Expertise in Coding, Algorithm, High Performance Computing
Benefits and support
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
Business Travel Executive
American Express Launches 'Next Generation' of Amex Corporate2026-10-01
American Express IR
American Express Declares Regular Quarterly Dividend on Common Shares2026-09-28
American Express IR
American Express Reports Second-Quarter 2026 Financial Results2026-07-24