Campus Graduate I Summer Internship Program - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY

American Express
New York
Workplace: HybridInternshipUSD 24.05 - 63 hourlyFunction: Banking, Lending & CreditEducation: mastersSkills: ["Analytical","Problem-solving","Communication","Teamwork"]

Contribute to predictive models and analytical solutions that support business decisions across credit, fraud, and marketing. Use statistical, machine learning, and AI techniques on large datasets to generate insights that improve customer experience, strengthen risk management, and drive innovation. Work with data scientists and cross-functional partners to build, test, and evaluate models, and communicate results through clear presentations and visualizations.

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FursaFursa
American Express
American Express
3 days ago

Campus Graduate I Summer Internship Program - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Contribute to predictive models and analytical solutions that support business decisions across credit, fraud, and marketing. Use statistical, machine learning, and AI techniques on large datasets to generate insights that improve customer experience, strengthen risk management, and drive innovation. Work with data scientists and cross-functional partners to build, test, and evaluate models, and communicate results through clear presentations and visualizations.
Location: New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Banking, Lending & Credit
Seniority: Intern level

Key Responsibilities

  • •Query, analyze, and derive insights from large and complex datasets using tools such as SQL and Hive.
  • •Build, test, and evaluate predictive models using machine learning and statistical techniques.
  • •Apply analytical approaches to solve business problems and support data-driven decision-making.
  • •Leverage large-scale data assets and/or develop GenAI-enabled solutions to address business challenges.
  • •Partner with data scientists and cross-functional teams to deliver recommendations and present findings through clear visualizations.

Pay and Benefits

Salary: USD 24.05 - 63 hourly
Perks:Annual Bonus

Key Requirements

  • •Currently enrolled in a Master’s degree program with an expected graduation date between December 2027 and June 2028.
  • •Pursuing a Master’s degree in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
  • •Proficiency in Python for data analysis, modeling, and automation.
  • •Experience working with large datasets using SQL, Hive, and/or developing GenAI, NLP, LLM, or AI-powered solutions.
  • •Hands-on experience applying statistical, machine learning, or AI techniques to solve business or research problems.
Experience:CreditFraud riskMarketingRisk management
Education:Master's in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field
Skills:AnalyticalProblem-solvingCommunicationTeamwork
Languages:US
Tech Stack:SQLHivePythonGenAINLPLLMAIMachine learningStatistical techniques

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn