MS
Morgan StanleyNew York City, NYInternship
2027 Machine Learning Research Associate Program - PhD (New York)
The 10-week Machine Learning Research Summer Internship at Morgan Stanley offers PhD candidates hands-on experience solving real-world financial problems using advanced ML techniques within a collaborative team of experts.
1
Role and Responsibilities
- Work independently on unsolved research problems with commercial applications.
- Develop custom algorithms and tailored solutions using ML and quantitative methods.
- Apply academic research skills to financial and operational challenges.
- Collaborate with business units and technology teams across the firm.
2
Qualifications and Skills
- Pursuing a PhD in a quantitative field such as CS, Math, Physics, or Financial Engineering.
- Strong understanding of statistical learning methods and mathematics.
- Excellent programming skills in Python or R; C, C++, Java are a plus.
- Interest in financial markets and ability to work in a team-oriented environment.
- Strong communication and organizational skills.
3
Program Features
- 10-week intensive summer internship in New York City.
- Work alongside full-time finance professionals and ML specialists.
- Includes senior quant teach-in sessions, speaker series, networking, and community service.
- Receive individualized on-the-job training and continuous feedback.
- Assigned a direct manager and program mentor for support.
4
Compensation
- Expected base pay between $170,000 and $185,000 per year at employment start.
- Base pay determined individually and part of total compensation package.
- May include commission, bonuses, incentives, and benefits.