Quantitative Developer Intern, Summer 2027

Arrowstreet CapitalBoston, MA

About The Position

We are looking for Quantitative Developer Interns to join our Research team. We are a collaborative, data-driven, intellectually rigorous group responsible for proposing investment ideas, codifying these ideas into signals, and back-testing these signals in order to produce return, risk and trading cost forecasts to drive trading decisions. We work in a friendly environment and place a high value on learning, innovation, attitude and initiative. Our Research Quantitative Development team is responsible for the tools, APIs, libraries and software development techniques to support faster generation, evaluation and productionization of investment ideas. As a Quantitative Developer Intern, you will be immersed in our research efforts, working closely with Quant Researcher and Quant Developers to enhance our investment strategies. Our internship program combines theory and practice, providing real-world experience working in quantitative finance and technology. You will deliver high impact projects using technologies including cloud, distributed and high-performance compute, numeric computation, data visualization and APIs to solve complex problems in finance and research.

Requirements

  • Enrolled in an undergraduate or graduate program from an educational institution in a technical field, such as computer science or engineering, with an additional focus in data science, applied mathematics, economics.
  • Expected degree completion within a year of the internship
  • Strong analytical, quantitative, programming and problems solving skills
  • Knowledge of software design paradigms, data structures, and numerical algorithms
  • Understanding of probability and statistics, including linear regression and time-series analysis
  • Excellent communication and collaboration skills
  • Interest in financial markets (prior experience not required)

Responsibilities

  • Solving complex quantitative problems with Python or R
  • Designing and developing tools or libraries to enhance our data science technology stack
  • Performing exploratory data analysis across large complex data sets to inform investment and signal ideas
  • Implementing performance improvements in our data analysis and numerical programming libraries
  • Running POCs to evaluate technologies and libraries in cloud and PyData ecosystems

Benefits

  • The weekly wage range for this position is $3,500 - $5,000 per week.
  • Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture.
  • The determination of a successful candidate’s base wage placement within the listed range will vary based on the candidate’s relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors.
  • The listed range is also an estimate, and additional information regarding base wages and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.
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