Over the course of two days in our New York office, a select group of current and recent PhD students will explore the rich set of problems we face as a quantitative trading firm and how we apply mathematical and computational techniques to solve them. The program will consist of short classroom lectures, interactive sessions, and trading games.
At Jane Street, we employ mathematicians and scientists from top academic programs to create models that allow us to trade billions of dollars around the world every day. This program will give you an inside look into how we get it done.
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.