Software Engineer Intern, Summer 2027

Arrowstreet Capital•Boston, MA

About The Position

Arrowstreet is seeking highly motivated Software Engineering Interns to join its engineering team. The firm uses proprietary systems to enable investment research and support portfolio construction, trade execution, and account management. Its systematic investment process relies on complex job orchestration, high-performance computing, and large-scale data analysis. The intern will gain hands-on experience building software, work with experienced engineers, and learn how technology is applied in asset management. Engineering teams collaborate with investment teams to improve investment processes and operational efficiency. The role involves contributing to software solutions, scalable applications, distributed systems, data pipelines, APIs, and internal tools.

Requirements

  • Currently enrolled in an undergraduate program studying computer science or a related technical field, with an expected graduation date in May or June 2028.
  • Proficiency in Python, C#, .NET, SQL, or other object-oriented languages.
  • Experience with software development environments, AI coding assistants, and deployment methodologies.
  • Basic understanding of agentic AI technologies and frameworks.
  • Exposure to DevOps technologies through coursework or similar experiences.
  • Knowledge of infrastructure-as-code and cloud services.
  • Applied technology experience through prior internships and academic projects.
  • Demonstrated interest in a software engineering career path.
  • Resourcefulness and ability to thrive in a fast-paced environment.
  • Strong communication, collaboration, and interpersonal skills.
  • Motivation, curiosity, enthusiasm, and passion for technology.

Responsibilities

  • Collaborate with software engineers to design, develop, test, and deploy software solutions and automation tools.
  • Contribute to building scalable applications and distributed systems.
  • Write clean, maintainable, and efficient code under firm standards, leveraging AI assistants.
  • Ensure applications meet enterprise-grade quality and testing standards.
  • Participate in code reviews and team meetings.
  • Contribute to projects involving data pipelines, APIs, and internal tools.
  • Accelerate the adoption of technologies across teams.
  • Research implementation approaches and present relevant findings and updates to the team.
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