A highly competitive 10-week summer internship program for PhD candidates in quantitative fields, offering the opportunity to work alongside Morgan Stanley's Machine Learning Research Team on impactful applied research projects with potential for high-impact problem solving in financial technology.
Morgan Stanley's Technology Machine Learning Research Summer Internship focuses on independently tackling unsolved research problems with commercial applications, creating custom algorithms and tailored solutions across multiple business lines.
Candidates must have strong quantitative academic backgrounds in fields like Computer Science, Mathematics, Physics, or Financial Engineering, with deep understanding of statistical learning methods, excellent programming skills, and a proven track record of research publication.
The program offers individualized training, mentorship, networking events, and exposure to senior quant professionals, with compensation ranging between $170,000-$185,000, providing a comprehensive introduction to machine learning research in a financial technology environment.
