2027 Investment Banking and Global Capital Markets Strats Summer Associate Program (New York)

Morgan Stanley Campus•New York, NY

4d•Onsite

About The Position

Morgan Stanley is a worldwide leader in investment banking, recognized for its performance in M&A, equity underwriting, corporate debt issuance, and high-yield debt financing. With professionals in 30 countries, the firm offers innovative financing solutions to clients globally. The New York City office is seeking Strats Summer Associates for the Investment Banking and Global Capital Markets Divisions. This 10-week in-person program combines financial engineering, mathematical modeling, and computer science to conduct rapid quantitative analysis on capital markets transactions, including debt and equity issuance, M&A, and restructuring, as well as optimizing complex hedging strategies for internal and external clients.

Requirements

Graduate student in Financial Engineering, Mathematics, Applied Mathematics, Physics, Statistics, Quantitative Finance, Computer Science, Electrical Engineering, Economics or related quantitative discipline
Completing degree in December 2027 to June 2028
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
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

Responsibilities

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.