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

American Express
New York
Workplace: HybridInternshipUSD 38.45 - 87 hourlyFunction: Banking, Lending & CreditExperience: 3+ yearsEducation: bachelorsSkills: ["Independent project management","Analytical thinking","Communication","Presentation","Problem-solving"]

Build predictive models and analytics that support decisioning across credit, fraud, and marketing. Work with large, complex datasets to query, analyze, and derive insights using SQL/Hive and Python, then develop, test, and evaluate machine learning and statistical approaches. Translate business problems into analytical plans, use GenAI/NLP/LLM-enabled methods where relevant, and present recommendations to stakeholders to improve risk management and customer experiences.

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FursaFursa
American Express
American Express
2 days ago

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

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Last checked: 14 hours agoStatus: Live

Job Summary

Build predictive models and analytics that support decisioning across credit, fraud, and marketing. Work with large, complex datasets to query, analyze, and derive insights using SQL/Hive and Python, then develop, test, and evaluate machine learning and statistical approaches. Translate business problems into analytical plans, use GenAI/NLP/LLM-enabled methods where relevant, and present recommendations to stakeholders to improve risk management and customer experiences.
Location: New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Banking, Lending & Credit
Seniority: Intern level

Key Responsibilities

  • •Independently lead an analytical project or workstream from problem definition through recommendation and final presentation.
  • •Query, analyze, and derive insights from large datasets using SQL, Hive, and Python.
  • •Build, test, and evaluate predictive models using machine learning and statistical techniques.
  • •Translate ambiguous business challenges into structured analytical approaches and actionable recommendations.
  • •Leverage large-scale data assets and/or develop GenAI-enabled solutions, partnering with stakeholders to align on objectives and communicate findings.

Pay and Benefits

Salary: USD 38.45 - 87 hourly

Key Requirements

  • •Currently enrolled in a Graduate or PhD program with an expected graduation date between December 2027 and June 2028.
  • •Pursuing a Master’s or PhD 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:3+ yearsAnalyticsData scienceMachine learningAISoftware engineering
Education:Bachelor's in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence (or related quantitative field)
Skills:Independent project managementAnalytical thinkingCommunicationPresentationProblem-solving
Tech Stack:PythonSQLHiveGenAINLPLLMAIMachine 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