Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets.

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.

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

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 plu

Qualifications:

Required:

• Development experience in Python or R (C, C++, Java, etc is a plus)

• Deep understanding of statistical learning method

• Strong communications and organizational skill

• 4+ years of applicable research experience

• Bachelor's degree required, Ph.D. desired

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).

Expected base pay rates for the role will be between $140,000 and $200,000 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.