Campus Graduate – Global Decision Science, Credit & Fraud Risk
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-06
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-06
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: New York
Responsibilities
- Contribute to the development of predictive models and analytical solutions informing key business decisions across credit, fraud, and marketing
- Query, analyze, and derive insights from large and complex datasets using SQL, Hive, Python, and other analytical technologies
- Build, test, and evaluate predictive models using machine learning, statistical techniques, and advanced analytical methods
- 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, business partners, and cross-functional teams to deliver analytical solutions and recommendations
- Communicate project findings and insights through clear presentations and visualizations
- Contribute to projects enhancing risk management, customer experiences, operational efficiency, and business performance
- 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, or similar technologies 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
- Strong analytical, problem-solving, communication, and teamwork skills
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions
Proficient in developing predictive models and analytical solutions using Python, SQL, and machine learning techniques to inform business decisions. Strong ability to analyze large datasets and communicate insights effectively through visualizations.
Highest-signal resume keywords- Python Proficiency
- SQL Experience
- Machine Learning Application
- Data Analysis Skills
- Statistical Techniques
- Predictive Modeling
- Data Analysis
- Statistical Techniques
- Machine Learning
- Analytical Solutions
- GenAI Development
- NLP Techniques
- LLM Solutions
- Automation
- Data Querying
- Analytical Skills
- Problem-Solving
- Communication
- Teamwork
- Credit
- Fraud
- Marketing
- Risk Management
- Operational Efficiency
- Data-Driven Decision-Making
- SQL
- Hive
- Python
- GenAI
- NLP
- LLM
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