Quantitative Researcher Intern, Summer 2027

Arrowstreet CapitalBoston, MA

About The Position

We are looking for Quantitative Researcher Interns to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. As a Quantitative Researcher Intern, you will be immersed in our research effort, working side-by-side with members of the Research group. Our intern program combines theory, practice and technology and provides significant insights into quantitative investment management. You will work on high impact projects that may involve finance, data science, applied math, optimization theory and computer programming.

Requirements

  • Enrolled in an undergraduate or graduate program from an educational institution in finance, mathematics, economics, or a closely related discipline emphasizing quantitative or financial analysis.
  • Expected degree completion within a year of the internship.
  • Demonstrated academic success
  • Understanding probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization and portfolio theory
  • Experience with a statistical computing environment such as Python, R, STATA, or MATLAB
  • Knowledge of the application of statistics to economics (including econometrics or regression analysis)
  • Experience analyzing large data sets
  • Passion for financial markets
  • Ability to communicate complex empirical research findings and conclusions clearly, including through effective use of data visualizations
  • High energy and strong work ethic

Nice To Haves

  • Experience leveraging large language models (LLMs) and coding agents to support research and programming workflows is a plus

Responsibilities

  • Performing statistical analysis across large complex data sets from a variety of structured and unstructured sources
  • Researching predictable patterns in asset returns, risks, trading costs and other data relevant to financial markets
  • Performing portfolio construction research using our proprietary simulation capability
  • Conduct research projects from initial stages through analysis, and present directly to the team and stakeholders

Benefits

  • Competitive compensation within our industry and in line with our merit-based culture.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service