Analyst-Data Science
In short
American Express's Credit and Fraud Risk team seeks an entry-level Data Science Analyst to develop and validate predictive models for risk, fraud, and marketing decisions. This hybrid role offers exposure to data science leaders and the opportunity to solve complex business problems impacting millions of customers.
Responsibilities
- Understand AXP's core business and decision-making levers.
- Analyze large datasets to derive business insights and create innovative solutions.
- Leverage the Amex network for intelligent and relevant decision-making.
- Innovate by developing new approaches using big data and machine learning.
- Clearly articulate business findings to leadership and key partners.
- Maintain an external perspective on developments in Finance, Payments, and Analytics.
Requirements
- MBA, Master's Degree in Economics, Statistics, Computer Science, or related fields.
- 0-30 months of experience in analytics.
- Ability to drive project deliverables to achieve business results.
- Ability to work effectively in a team environment.
- Strong communication and interpersonal skills.
- Innovative problem solver with the ability to learn quickly and work independently on complex, unstructured initiatives.
- Ability to integrate with Cross-Functional Business Partners Worldwide.
#data science#analytics#machine learning#risk management#fraud detection#finance#payments
Company
American Express
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Entry
Locations
Gurgaon, India
Bengaluru, India
Qualification
Bachelor
Applicants
Be an early applicant