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2027 AlphaWise Summer Associate Program (New York)
internship · Data Science & Analytics
The AlphaWise Summer Associate Program is an intensive 10-week program that provides Summer Associates the opportunity to work alongside full time professionals on impactful, quantitative projects. Summer Associates will work within an assigned team for the entirety of the program. This team is one of the financial industry's dominant thought leaders in equity and fixed-income investing and is a vital link between the Firm's varied business divisions.
The Summer Program begins with a training and development curriculum that covers the fundamental and professional skills you need to be successful in the program. After a brief training period, AlphaWise Summer Associates will be assigned to a quantitative and data-driven project, typically in collaboration with Equity Analysts, Strategists, and Economists in the Research Department. There will be networking opportunities and ongoing training throughout the program.
AlphaWise is leading the charge on data and analytics in Research. Given the growing strategic importance of data, they serve as a key enabler to both the “Offense” (generating new commercial opportunities) and “Defense” (ensuring proper data use and risk management). Further, AlphaWise provides valuable insights on market-moving events to the firm’s traders and their clients.
Responsibilities
- Data Analytics & Modeling: Explore, analyze, and develop models using market and alternative datasets in collaboration with Equity Analysts, Strategists, and Economists.
- Identify correlations among company/industry KPIs, valuations, multiples, and stock returns to generate predictive insights.
- Analyze trends and cycles to uncover key drivers of performance.
- Perform geospatial and demographic analysis.
- Conduct other forms of original and innovative research.
- Alpha & Thematic Research: Generate, brainstorm, and implement innovative ideas in Alpha research, applying advanced quantitative techniques in combination with domain expertise.
- Generative AI & NLP Applications: Leverage GenAI and other NLP models to extract insights, automate workflows, and enhance research processes.
- Collaboration & Ideation: Actively source and test new research ideas, collaborating with cross-sector and Thematic research teams to expand research breadth and depth.
- Communication: Clearly articulate the rationale, methodology, and outcomes of research initiatives, producing deliverables in the form of presentations and research reports
Qualifications/Skills/Requirements
- Education: Currently pursuing an advanced degree in Financial Engineering, Mathematics, Financial Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science, or a related quantitative field, with an expected graduation date between December 2027 and June 2028.
- Quantitative Expertise: Solid academic foundation in mathematics and statistics. Familiarity with Generative AI (GenAI), NLP, and Machine Learning techniques is preferred but not required.
- Programming Skills: Proficiency in Python or in one of the common programming languages such as C/C++, Java, R, or Matlab. Experience with q/KDB, SQL, visualization tools, and Office productivity suites is preferred but not required.
- Financial Knowledge: Demonstrated interest in financial markets. Exposure to equity factor models and fundamental research is a plus.
- Analytical Mindset: Creative thinker with strong problem-solving skills and the ability to approach complex challenges from multiple perspectives.
- Communication: Strong verbal and written communication skills, with the ability to articulate technical concepts to diverse audiences.
- Collaboration: Self-motivated, team-oriented, and capable of working effectively across cross-functional teams in a collaborative environment.
Application Process
- An online assessment is required in order for your application to be considered complete.
- Invitations to the online assessment will be sent to eligible candidates following the application close date in October
- Applicants will have 1 hour to complete the online assessment.
- Exam must be completed within 48 hours of being sent.
- First Round Interviews and Superday Interviews will be conducted via Zoom.
- Please let us know any competing deadlines or questions regarding the application process by emailing us at research_campusrecruiting@morganstanley.com
Expected base pay rate for the role will be $72.12 per hour 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).