Morgan Stanley
Machine Learning Researcher
Morgan Stanley, New York, New York, us, 10261
Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management, and wealth management services. With offices in more than 43 countries, the people of Morgan Stanley are dedicated to providing our clients the finest thinking, products, and services to help them achieve even the most challenging goals. As a market leader, the talent and passion of our people are critical to our success. We embrace integrity, excellence, teamwork, and giving back.
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.
Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients' businesses and to our own.
DESCRIPTION
Morgan Stanley's Machine Learning Research Department is responsible for working across the Firm's 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.
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.
Required:
Development experience in Python or R (C, C++, Java, etc. is a plus)Deep understanding of statistical learning methodsStrong communications and organizational skills4+ years of applicable research experienceBachelor'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.
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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.
Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients' businesses and to our own.
DESCRIPTION
Morgan Stanley's Machine Learning Research Department is responsible for working across the Firm's 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.
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.
Required:
Development experience in Python or R (C, C++, Java, etc. is a plus)Deep understanding of statistical learning methodsStrong communications and organizational skills4+ years of applicable research experienceBachelor'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.
#J-18808-Ljbffr