Thematic Research Senior Associate

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 15 Dec 18

Thematic Research Senior Associate

Morgan Stanley Investment Management (IM), together with its investment advisory affiliates, has more than 608 investment professionals around the world and $482 billion in assets under management or supervision as of December 31, 2017. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.

Morgan Stanley is seeking to create a new equity research team dedicated to deep dive bespoke research projects on a range of topics from disruptive technologies to a wide array of investment themes. This team will support MSIM's various portfolio management teams by providing insights and investment recommendations on long term industry changing trends.
The ideal candidate should be entrepreneurial and view problems creatively. The candidate should have strong Excel skills and be able to build financial models. Given that the candidate will interact with many different constituencies across MSIM and in industry, the candidate should possess strong interpersonal skills.
Key Responsibilities:
· Investigate new ideas to understand the competitive dynamics of a particular industry
· Develop industry contacts who can aid your understanding of the potential for each new idea to succeed
· Evaluate the addressable market for new products and technologies
· Build company financial forecasts and perform valuation analyses
· Employ alternate data sets and use data analyses techniques to bolster your conclusions
· Create presentations explaining the industry dynamics at play and highlighting your conclusions and recommendations supported by evidence you have discovered
· Present findings to relevant portfolio teams including but not limited to buy/sell recommendations


· 3-5 years of prior research work experience
· Strong analytical skillset; would highly value individuals with a strong working knowledge of statistical/machine learning techniques
· Proficiency in Excel with the ability to build financial models
· An entrepreneurial mindset
· Strong communication and interpersonal skills