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0
Candidati |
Descrizione del lavoro:
Business Unit/Role Specific Information
Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing
Requisiti del candidato:
Minimum Qualifications:
* 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.
Preferred Qualifications
* 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
| Provenienza: | Web dell'azienda |
|---|---|
| Pubblicato il: | 04 Set 2026 (verificato il 05 Set 2026) |
| Tipo di impiego: | Stage |
| Settore: | Banche / Finanza |
| Durata di lavoro: | 3 mesi |
| Lingue: | Inglese |