Jane Street’s internships offer undergraduates, recent graduates, masters and PhD students an exceptional opportunity to meet our team and learn about the firm and the world’s financial markets. We put an enormous amount of effort into making our internships an educational, valuable, and fun experience.
We offer internships in four areas: quantitative trading, software engineering, quantitative research, and business development. All internships are paid, and summer internships typically run for 10-12 weeks between May and September. Each office location also offers unique off-cycle internships based on academic scheduling.
To learn more and apply, please visit our internships page.
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.