Morgan Stanley is a worldwide leader in investment banking. We are one of the top firms in mergers & acquisitions (M&A), underwriting of equity transactions, corporate debt issuance, and high-yield debt financing. With professionals in 30 countries, we are consistently recognized for our performance in traditional and innovative financing solutions, helping clients around the world to make decisions about their business strategy and financial structure.

Our New York City office is looking for Strats Interns for the Investment Banking Division, to combine financial engineering, mathematical modeling, and computer science to conduct rapid quantitative analysis on capital markets transactions, whether pitches or live execution (for example, debt and equity issuance, M&A, restructuring) and optimizing complex hedging strategies for internal and external clients.

WE OFFER

• A 12-week in-person program that takes place at Morgan Stanley’s headquarters in New York.
• Placement in Investment Banking Division (IBD) Strats Group.
• Fall programming that includes, and is not limited to, regular sessions hosted by Firm representatives on accounting, industry and product-specific training, introduction to Morgan Stanley proprietary analytical tools and an overall introduction to the Firm.
• Mentors to aid in your development and provide greater exposure to IBD.
• A flat structure experience that will provide you with a high level of responsibility early in your career.
  

YOU WILL
Responsibilities may include and are not limited to:

• Create and maintain data driven analytics and financial models used to advise clients in achieving their strategic needs.
• Analyze transaction data, client behavior, and market activity to support M&A, IPO, and capital raising pitches.
• Work with sector coverage, sponsor coverage, and M&A teams to provide differentiated analysis to clients and help source new clients.
• Develop and maintain critical business reporting solutions for the desks’ and division’s senior management.
• Build dashboards and tools for bankers including pipelines for ingesting, cleaning, and transforming financial and alternative datasets; often collaborating with engineering teams to ensure scalable and efficient systems.

QUALIFICATIONS

• You are pursuing a Master's degree in Financial Engineering, Mathematics, Applied Mathematics, Physics, Statistics, Quantitative Finance, Computer Science, Electrical Engineering, Economics or related quantitative discipline.
• You are completing your degree in March 2027.
• You have a keen interest in financial markets.
• Excellent quantitative skills and programming ability in a major language.
• Outstanding verbal and written communication skills.
• Ability to work with a strong sense of urgency while maintaining attention to detail.
• You have the drive and desire to work in a team-oriented environment.
• Working knowledge of Q/KDB, Python, Java or Scala and desire to learn new techniques.
  

Expected base pay rates for the role will be $72.12 per hour at the commencement of employment. However, base pay is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses 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).