Morgan Stanley is looking to solve mission-critical high impact problems using Machine Learning Research
Requirements
- 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 experience in conducting creative, hands-on, high-impact quantitative research.
- Track record of publishing in competitive venues is highly sought after
- Broad experience across multiple fields is a plus
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.
Other
- 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 strong communication and organizational skills
- You have the drive and desire to work in an intense team-oriented environment
