Machine Learning Researcher

474 MS Services Group, Inc.; New York (NY); On-site; USD 154,000 - 213,000; Full time

Job summary

Morgan Stanley's Machine Learning Research Department seeks researchers who can independently tackle research problems with commercial applications. Ideal candidates will apply technical expertise from academia to real-world financial and operating challenges.

We welcome PhD students nearing graduation to established researchers and value broad experience across fields. Development experience in Python or R, deep understanding of statistical learning, strong communication, and at least 4 years

Qualifications

• Track record of creative, hands‑on machine learning research with publications.
• Open to industry and academia, from PhD students to established researchers.
• Broad experience across multiple fields is a plus.

Responsibilities

• Develop and apply machine learning methods with commercial applications.
• Translate academic research into real‑world financial and operating solutions.
• Collaborate across teams to advance research impact.

Skills

Python

R

Statistical learning

Communications

4+ years of research

Bachelor's degree

C

C++

Java

Education

Bachelor's degree

Ph.D. desired

Tools

C

C++

Java

Job description

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission‑critical problems.

We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

We are seeking someone capable of independently tackling research problems that have commercial applications. Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems.

Please see our research papers for more: https://www.morganstanley.com/about-us/technology/machine-learning-research-team

What you’ll bring to the role:

These candidates will have a track record of exceptionally creative, hands‑on, high‑impact machine learning research and applications, evidenced by publications in competitive venues.

We welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. Broad experience across multiple fields is a plus.

• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
• Bachelor's degree required, Ph.D. desired

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first‑class service and high standard of excellence that have defined Morgan Stanley for over 85 years.

• putting clients first
• doing the right thing
• leading with exceptional ideas
• committing to diversity and inclusion
• giving back

That guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross‑collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world.

Learn more about how we put this commitment to action: morganstanley.com/diversity.

We are proud to support our employees and their families at every point along their work‑life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

We're committed to bringing passion and customer focus to the business.

Expected base pay rates for the role will be between $154,000 and $213,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long‑term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values.

Morgan Stanley is dedicated to providing first‑class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world.

In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading‑edge solutions—and in the ability of capital to work for the benefit of all society.

What We Do