Apply on Employer Site

CHEManager International · 6 hours ago

2026 Machine Learning Research Associate Program - PhD (New York)

New York, NY

Internship

Onsite

Intern

$170K/yr - $185K/yr

Start in 2026 Summer

CHEManager International is offering an intensive 10-week Machine Learning Research Summer Internship at Morgan Stanley. Summer Associates will work alongside finance professionals and machine learning specialists on impactful applied research projects, tackling unsolved research problems with commercial applications.

Newspapers

Responsibilities

Independently tackle previously unsolved research problems that have commercial applications

Machine Learning and other advanced quantitative methods in every line of business; the purpose of the central ML Research team is to create custom algorithms and tailored solutions

Leverage the technical expertise and research acumen you have been cultivating in your academic careers, and apply it to real-world financial and operating problems. (Successful candidates will have experience in conducting creative, hands-on, high-impact quantitative research.)

Qualification

PhD in quantitative fieldStatistical learning methodsProgramming in PythonRInterest in financial marketsTeam-oriented environmentPublishing track recordBroad experienceCommunication skillsOrganizational skills

Required

You are pursuing a PhD degree in Computer Science, Mathematics, Physics, Statistics, Chemistry, Financial Engineering, Financial Math, Engineering, Quantitative Finance, or other related quantitative field

You have a deep understanding of statistical learning methods and strong mathematical academic training

You have excellent programming skills in Python or R, (C, C++, Java, etc. is a plus)

You have a keen interest in financial markets

You have the drive and desire to work in an intense team-oriented environment

You have strong communication and organizational skills