The board
Internship
Data
Quantitative Researcher Intern, Summer 2027
Arrowstreet Capital
- Hours
- Full time
- Where
- Boston
- Posted
- Sep 2
Job Overview
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.
What you'd do
- 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
What they want
- 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
- Experience leveraging large language models (LLMs) and coding agents to support research and programming workflows is a plus
- 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
- Starts
- 2026-08-07