2021 Technology Quantitative Summer Program- PhDs (New York) - New York - job 636528

Morgan Stanley

Date: 02/23/2021

City: New York, New York

Employment type: Full-time


The Quantitative Technology Machine Learning Research Summer Internship is an intensive 10-week program that provides Summer Associates the opportunity to work alongside full-time Finance professionals and ML specialists on impactful applied research projects. Summer Associates will work within Morgan Stanley's Machine Learning Center of Excellence for the entirety of the program. This is a highly motivated and collaborative team of scientists, technologists, and market practitioners. This team is responsible for working with business units and technology teams across the entire Firm to solve mission-critical high impact problems.

The multi-faceted program features senior quant teach-in sessions, divisional speaker series, networking events, and community service. With individual coaching and continuous feedback, the program enables Summer Associates to experience and understand what a long-term career in ML Research within the Firm entails.


We are seeking someone capable of independently tackling previously-unsolved research problems that have commercial applications. Morgan Stanley uses 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. As a Summer Associate, you will 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. Broad experience across multiple fields is a plus. Track record of publishing in competitive venues is highly sought after.


The Summer kicks off with a week-long introductory training program, which provides an institutional contextualization to the work that Summer Associates will be doing through market-knowledge training, finance workshops, coding and product training. Following the training week, Summer Associates will continue to receive more individualized on-the-job training as they begin their daily work and projects. Summer Associates will have a direct manager, as well as a program mentor, both of whom will act as invaluable resources throughout their time at Morgan Stanley.


  • 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.

Job Level

Summer Associate


Summer Associate

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