Jane Street
Jane Street

Software Engineer

TLDR

Build real-world software with mentorship on high-impact projects using OCaml (and Python).

About the Position

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done.

As a Software Engineering intern, you’ll learn how we use OCaml (our primary development language) in our day to day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. 

During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high performance trading systems to programming language design and everything in between.

If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like!

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

  • A top-notch programmer with a love for technology
  • Intellectually curious, collaborative, and eager to learn
  • Humble and unafraid to ask questions and admit mistakes

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Jane Street builds sophisticated models, strategies, and systems that price and trade financial instruments, leveraging petabytes of diverse data sources. Our team of researchers, engineers, and traders collaborate closely in a dynamic environment, utilizing advanced computing clusters and machine learning to continuously innovate and improve trading efficiency.

Founded
Founded 2000
Employees
500+ employees
Industry
financial services
View company profile
Apply for this job

Pro members saw this job first

New jobs unlock for everyone after 24 hours. Startup Jobs Pro shows them right away, with instant alerts and salary filters. From $7/month.

Get Pro