At Jane Street, we are always looking for great new people to join our team. We have expanded our range of events and programs over the years to give as many people as possible the chance to learn more about what we do and how we do it. Simply put, these programs are about us getting to know each other.
If you have never thought about a career in finance, you are in good company. Many of us had little to no experience in economics or finance before working here. We look for smart people from any background with a curious mind and a passion for technology and creative problem-solving. In other words, people like 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.