Campus Undergraduate Summer Internship Program - 2027 Data Analytics, Global Servicing- New York, NY
American ExpressAbout the role
Global Servicing (GS) oversees consumer travel and concierge experiences, all card customer service functions for the company’s global consumer, banking, merchant, and commercial customers, as well as the key enablement functions that power our products and services. GS provides the world’s best customer experience every day by building on Amex’s 175-year legacy of service excellence, leveraging new technologies and capabilities to drive transformation, and bringing a human touch to each customer interaction.
The First Line of Defense Financial Crimes Risk & Controls Center of Excellence provides an enterprise-wide approach to managing financial crime risk within Global Servicing. The team supports the development of strong controls across areas including anti-money laundering, sanctions, payments, and anti-corruption.
Working closely with Technology, Business, Servicing, and Compliance teams, the Financial Crimes Data Analytics Intern will use data to help identify emerging risks, evaluate potential control gaps, and support improvements to financial crime monitoring and reporting.
The 1LOD Financial Crimes Risk & Controls Team is seeking a Financial Crimes Data Analytics and Reporting Intern. This role is designed for a bachelor’s degree graduate with strong analytical and technical skills who is interested in applying data analytics to financial crime risk management. Responsibilities include:
Analyze financial crime data to identify trends, anomalies, emerging risks, and potential control gaps.
Use SQL, Python, and data analysis tools to work with large and complex datasets.
Translate analytical findings into clear, practical recommendations.
Suggest potential controls and process improvements to help reduce financial crime risk.
Assist with evaluating the effectiveness of existing financial crime controls.
Prepare presentations and summaries for technical and non-technical stakeholders.
Required Qualifications
Enrolled in a bachelor’s degree program in data science, analytics, computer science, statistics, economics, finance, mathematics, or a related field.
Bachelor’s degree candidates with an expected graduation date between December 2027 and June 2028.
Preferred Qualifications
Strong knowledge of SQL, Python, and data analysis or visualization tools.
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