About the Role
The Credit and Fraud Risk (CFR) Analytics & Data Science CoE team leverages analytics, data science, machine learning, and digital advancements to improve risk management, enable commerce, and drive innovation. The role focuses on developing, deploying, and validating predictive models to support profitable decisions across risk, fraud, and marketing functions.
Responsibilities
- Understand American Express business operations and decision-making processes
- Analyze large volumes of data to derive business insights and develop innovative solutions
- Leverage closed-loop network data to improve decision intelligence and relevance
- Develop newer and better approaches using big data and machine learning solutions
- Build, deploy, and validate predictive models
- Support model usage in economic decision-making frameworks
- Communicate business findings and analytical insights to leadership and key stakeholders
- Stay informed about developments in finance, payments, analytics, data science, and machine learning
- Collaborate with cross-functional business partners globally
Requirements
- MBA or Master's Degree in Economics, Statistics, Computer Science, or related fields
- Ability to drive project deliverables and achieve business outcomes
- Strong communication and interpersonal skills
- Ability to work effectively in a team environment
- Strong problem-solving and analytical skills
- Ability to learn quickly and work independently on complex initiatives
- Ability to collaborate with global cross-functional teams
Experience
- 0 to 30 months of experience in analytics
Benefits
- Competitive base salary
- Bonus incentives
- Financial well-being and retirement support
- Medical, dental, vision, life insurance, and disability benefits
- Hybrid work arrangements
- Paid parental leave
- Access to wellness centers (location dependent)
- Confidential counseling support through Healthy Minds program
- Career development and training opportunities
