Campus Graduate II Summer Internship Program - Global Decision Science, Credit & Fraud Risk NY
Job in
New York City, Richmond County, New York, USA
Listed on 2026-09-04
Listing for:
American Express
Seasonal/Temporary, Apprenticeship/Internship
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Campus Graduate II Summer Internship Program - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY
New York, NY, United States
(Hybrid)
** Job Description*
* ** Business Unit/Role Specific Information*
* The
** Credit and Fraud Risk (CFR)*
* team at American Express employs 3,500 global professionals focused on managing credit, fraud, and banking risk, optimizing risk trade-offs while delivering exceptional customer experiences. CFR's work spans the entire customer lifecycle, supporting core processes like credit underwriting, fraud detection, servicing, and product development while also maintaining regulatory compliance and operational integrity. CFR leverages advanced analytics, data science, and AI/ML techniques to drive risk modeling, personalize decisions, and enhance customer experiences
** Responsibilities*
* ** How will you make an impact in this role?*
* The Data Science Intern will contribute to the development of predictive models and analytical solutions that inform key business decisions across credit, fraud, and marketing. By applying statistical, machine learning, and AI techniques to complex datasets, they will generate insights that enhance customer experience, strengthen risk management, and support innovation across the enterprise.
As an intern your responsibilities can include:
+ Independently lead an analytical project or workstream from problem definition through recommendation and final presentation.
+ Query, analyze, and derive insights from large and complex datasets using tools such as SQL, Hive, Python, and other analytical technologies.
+ Build, test, and evaluate predictive models using machine learning, statistical techniques, and advanced analytical methods.
+ Translate ambiguous business challenges into structured analytical approaches and actionable recommendations.
+ Leverage large-scale data assets and/or develop GenAI-enabled solutions to address business challenges and improve decision-making.
+ Partner directly with business stakeholders to understand objectives, align on solutions, and communicate key findings.
+ Develop and present recommendations that drive business outcomes, exercising independent judgment and accountability throughout project execution.
** Qualifications*
* *
* Minimum Qualifications:
*
* + Currently enrolled in a Graduate or PhD degree program with an expected graduation date between December 2027 and June 2028.
+ Pursuing a Master's PhD degree program in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
+ 3+ years of professional experience in analytics, data science, quantitative research, machine learning, software engineering, or a related field.
+ Demonstrated ability to independently manage analytical projects and deliver results with limited direction.
+ Proficiency in Python and experience applying statistical, machine learning, or AI techniques to solve business or research problems.
+ Experience working with large datasets using SQL, Hive, or similar technologies and/or developing GenAI, NLP, LLM, or AI-powered solutions.
+ Strong analytical, communication, presentation, and problem-solving skills.
** Preferred Qualifications*
* + Experience presenting analytical insights and recommendations to stakeholders and influencing business decisions.
+ Published research, patents, academic publications, conference presentations, or other significant analytical project work.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values ()
and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counselling support through our Healthy Minds program
+
Career development and training opportunities
For a full list of Team Amex benefits,…
Position Requirements
Less than 1 Year
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×