- Location
- Hong Kong, Hong Kong · Hong Kong
- Type
- Full-time
Description
About the position
At Jane Street, quantitative traders identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more.
Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.
About you
If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. We’re looking for smart people who enjoy solving interesting problems, and we’re more interested in how you think and learn than what you currently know. You should be:
- A critical thinker with a strong quantitative mind
- A collaborative problem-solver who enjoys working on a team
- Proactive, reliable, and courteous with strong organisational and communication skills
- Eager to ask questions, admit mistakes, and learn new things
- Fluent in English
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.
If you’d like to learn more, you can read about our interview process and meet some of the team.