Quantitative Researcher
Jane Street
Hong Kong, CH
6天前

About the Position

As a Quantitative Research intern, you’ll work side by side with full-timers to learn how we identify market signals, analyze large datasets, build and test models, create new strategies, and write code to implement them.

The problems we work on rarely have clean, definitive answers and they often require insights from colleagues across the firm with different areas of expertise.

During the program you’ll work on two projects, mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’re still trying to figure out, while others involve building new tools or systems.

Your mentors will work in two distinct areas of research, so you’ll gain a better understanding of the diverse array of research challenges we consider every day, from reasoning about how best to analyze very noisy datasets to building practical models that allow us to better identify market signals.

Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and real-time discussion on the desk.

If you’d like to learn more, you can read about our and meet some of our .

About You

We don’t expect you to have a background in finance or any other specific field we’re looking for smart people who enjoy solving interesting problems.

We’re more interested in how you think and learn than what you currently know. You should be :

  • Able to apply logical and mathematical thinking to all kinds of problems
  • Intellectually curious asking great questions is more important than knowing all the answers
  • A strong programmer who is interested in learning to write code in OCaml, even if you’ve never done functional programming before
  • An open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of professional backgrounds and areas of expertise
  • Eager to ask questions, admit mistakes, and learn new things
  • Fluent in English
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