About The Position

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 Summer Associates for the Investment Banking and Global Capital Market Divisions, 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 10-week in-person program that takes place at Morgan Stanley’s headquarters in New York Placement in either Investment Banking Division (IBD) or Global Capital Markets (GCM) Strats Group Summer 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 or GCM A flat structure experience that will provide you with a high level of responsibility early in your career

Requirements

  • You are a graduate student 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 December 2026 to June 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

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.
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