This article takes you inside the technical internship program at Jane Street through the firsthand experiences of three interns who successfully converted to full-time employees.
This article takes you inside the technical internship program at Jane Street through the firsthand experiences of three interns who successfully converted to full-time employees.
Jane Street is a globally renowned quantitative trading firm and liquidity provider, founded in 2000 and headquartered in New York City. The firm has over 2,600 employees worldwide, with operations spanning New York, London, Hong Kong, Amsterdam, Chicago, and Singapore.
As a major market maker, Jane Street trades across more than 200 venues globally, covering equities, bonds, options, futures, commodities, digital assets, and currencies. In 2020, the total value of securities traded by the firm exceeded $17 trillion.
Jane Street is known for its technology-driven trading strategies, extensively using the OCaml programming language to develop trading systems and tools. The firm emphasizes collaboration and problem-solving, committed to innovation in both technology and trading.

Background: Intern A attended Carnegie Mellon University (CMU), known for its strong programming language research group and extensive functional programming curriculum. At school, Intern A developed a strong interest in functional programming, actively learning and even teaching a course called "Hype for Types" aimed at promoting functional programming concepts.
How She Learned About the Firm: In class, students often asked: "When will functional programming ever be useful in practice?" People frequently mentioned this firm, but joked "don't mention that firm, because they're the only company that uses functional programming at scale." This piqued Intern A's interest.
Motivation for Applying: Driven by her passion for functional programming, Intern A felt that applying for an internship at this firm was a natural choice. She hoped to apply her knowledge in real projects and work with like-minded people.
Background: Intern B attended Harvard University, majoring in Computer Science and Statistics. During her studies, she took a functional programming course and developed an interest in OCaml. Ron Minsky (a well-known technology expert) gave a guest lecture discussing practical applications of OCaml, which further sparked her interest.
How She Learned About the Firm: Intern B participated in the firm's INSIGHT program, a week-long boot camp for women in STEM. Held at the firm's New York office, participants engaged in a series of OCaml exercises and projects, gaining insight into the firm's technical culture and work environment.
Motivation for Applying: During the INSIGHT program, Intern B experienced the firm's open culture and technical strength. Her interactions with employees convinced her to apply for an internship, hoping to dive deeper into real projects.
Background: Intern C attended Cambridge University, where he encountered functional programming during his studies. Although OCaml was not as widely used at his school as elsewhere, this did not hinder his interest.
How He Learned About the Firm: A friend of Intern C's had previously interned at this firm and shared interesting experiences and takeaways. This sparked Intern C's strong interest in the firm.
Motivation for Applying: Encouraged by his friend's recommendation and his passion for functional programming, Intern C decided to apply for an internship, hoping to apply his knowledge in a real-world setting and take on new challenges.

Project Overview: Intern A worked on improving the firm's manual order entry system, which allows traders to manually place orders with multiple risk controls.
Challenges & Solutions:
Project Overview: Intern B worked on developing Incr_dom, an OCaml library used by the firm for building dynamic web applications.
Challenges & Solutions:
Project Overview: Intern C worked on developing the Request for Quote (RFQ) system. The RFQ system allows clients to request quotes from multiple market makers and select the best price for execution.
Challenges & Solutions:

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