Over the course of two days, a select group of first-year undergraduates will learn more about Jane Street’s innovative trading and technology models through a series of classes and a team-based mock trading simulation game.
Math and technology are at the core of how we approach trading. The proprietary models and systems we build play an essential role in everything we do. If you are planning to study math, physics, computer science, or another STEM-related major, this is the program for you.
This program does not require a prior knowledge of finance, only an interest in seeing what a career at Jane Street might look like. Please apply only to the location nearest you.
Students currently enrolled in university at any level, including incoming first-year students who self-identify with historically underrepresented minority ethnic/racial groups are introduced to Jane Street in this fun and engaging two-day program.
First-year university students learn about our trading and technology models in this interactive two-day program.
Undergraduate and graduate students who self-identify with historically underrepresented minority ethnic/racial groups explore our trading, software development, and business development teams in this interactive three-day program.
Self-identifying women and gender expansive people learn how we use math and computer science to solve real-world problems in this interactive four-day program.
Students and recent graduates join any office location to meet our teams and learn about quantitative trading, software engineering, quantitative research, or business development.
Current university students including undergraduate, graduate and PhD students are invited to learn about Jane Street in this fun and engaging one-day program.
University students from Asia Pacific-based universities will explore how math and probability concepts are used in quantitative trading in this interactive three-day program.
First and second year university students explore how we use math and computer science to solve real-world problems in this educational four-day program.
Current and recent Ph.D. students explore several quantitative trading problems using mathematical and computational techniques in this challenging two-day program.