Machine Learning Research Associate Program - PhD at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

185000.0

Posted On

13 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Quantitative Research, Statistical Learning, Programming, Python, R, C, C++, Java, Financial Markets, Communication Skills, Organizational Skills, Teamwork, Problem Solving, Data Analysis

Industry

Financial Services

Description

The Technology Machine Learning Research Summer Internship is an intensive 10-week program that provides Summer Associates the opportunity to work alongside Full-Time Finance professionals and ML specialists on impactful applied research projects. Summer Associates will work within Morgan Stanley’s Machine Learning Research Team for the entirety of the program. This is a highly motivated and collaborative team of scientists, technologists, and market practitioners. This team is responsible for working with business units and technology teams across the entire Firm to solve mission-critical high impact problems. The multi-faceted program features senior quant teach-in sessions, divisional speaker series, networking events, and community service. With individual coaching and continuous feedback, the program enables Summer Associates to experience and understand what a long-term career in ML Research within the Firm entails. Summer Associates will receive individualized on-the-job training as they begin their daily work and projects. Summer Associates will have a direct manager, as well as a program mentor, both of whom will act as invaluable resources throughout their time at Morgan Stanley. Role and 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. (Successful candidates will have experience in conducting creative, hands-on, high-impact quantitative research.) Qualifications and Skills: 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 Broad experience across multiple fields is a plus 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 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $170,000 and $185,000 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).

Responsibilities

Summer Associates will independently tackle unsolved research problems with commercial applications and leverage machine learning and advanced quantitative methods across various business lines. They will work closely with finance professionals and ML specialists on impactful applied research projects.