Morgan Stanley ยท 3 months ago
Machine Learning Research Associate Program - PhD
Morgan Stanley is a leading global financial services firm, and they are seeking Summer Associates for their Machine Learning Research Summer Internship. This program provides the opportunity to work on impactful applied research projects alongside finance professionals and ML specialists.
Asset ManagementFinanceFinancial ServicesLending
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
Qualification
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
Track record of publishing in competitive venues is highly sought after
Preferred
Broad experience across multiple fields is a plus
Benefits
Some of the most attractive and comprehensive employee benefits and perks in the industry
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Recent News
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