Jane Street is a quantitative trading firm that uses innovative technology, a scientific approach and a deep understanding of markets to guide our business. We are a global liquidity provider and market maker, operating around the clock and around the globe, out of offices in New York, London, Hong Kong and Amsterdam.
The markets change rapidly, and we need to change faster still. Every day, we come to work with new problems to solve, new systems to build and new theories to test. We’re always looking for people to join us and help come up with that next great idea.
The environment is intellectual and collaborative, relaxed and playful, with a strong focus on education. You’ll learn about trading and our technology stack through in-house classes, guest lectures and on-the-job experiences. You’ll have the freedom to get involved in many different areas of the business and we’re small enough that you can quickly and clearly see the impact of your work.
About the position
The Quantitative Trading Internship is a fast-paced, immersive experience. Over the course of the summer, you will be mentored by some of our experienced traders who will teach you about identifying, analyzing, and executing trading strategies, constructing quantitative models, conducting statistical analysis, building trading intuition, and more. In addition to 1-on-1 work with your mentors, you will attend internal classes on various topics and participate in mock trading sessions alongside your co-interns, where we can teach you the broader fundamentals of finance and trading (and how your quantitative problem-solving skills fit in).
The work can be challenging and intense, but we want our employees, interns included, to have a healthy work-life balance. Interns work approximately 9-hour days, Monday through Friday. We encourage our interns to enjoy their weekends in NYC and to take advantage of what the city has to offer.
Please note that while we’re working remotely right now, we’re hoping to host our 2021 internships back in the New York office if public health conditions allow.
We are looking for people who have a strong quantitative mind and enjoy working collaboratively to solve challenging problems in a practical setting. Prior knowledge of finance or economics is not expected or required. Experience with particular programming languages is also not required, although generally being comfortable programming in your language of choice is a plus.