Quantitative Trader

At Jane Street, quantitative traders identifymarket signals, analyse and execute strategies,construct quantitative models, conduct statisticalanalyses, build algorithmic trading systems,manage risk, develop new businesses, and more.

Our trading desks are central to ourcollaborative and cooperative office environment.You can expect to work side by side withexperienced traders who are committed to teaching,guiding, and supporting our newest hires. Throughhands-on, interactive training, you'll acquiresignificant trading responsibilities within weeksto months of being on the desk. In parallel, youwill participate in our robust year-long firmwideeducational curriculum.

At Jane Street, the lines between research,technology, and trading are intentionally blurry,and you'll have access to petabytes of data, acomputing cluster with hundreds of thousands ofcores, and a growing GPU cluster containing tensof thousands of high-end GPUs. We don't believe in"one-size-fits-all" modelling solutions; we areopen to and excited about applying all differenttypes of statistical and ML techniques, fromlinear models to deep learning, depending on whatbest fits a given problem.

If you've never thought about a career infinance, you're in good company. Many of us werein the same position before working here. We'relooking for smart people who enjoy solvinginteresting problems, and we're more interested inhow you think and learn than what you currentlyknow. You should be:

• A critical thinker with a strongquantitative mind
• A collaborative problem-solver who enjoysworking on a team
• Proactive, reliable, and courteous withstrong organisational and communication skills
• Eager to ask questions, admit mistakes,and learn new things

A profitable trading strategy is only as strongas the technology it runs on, and we considerourselves as much a technology company as atrading firm. General programming experience is aplus, but knowing a particular programminglanguage is not required.

If you'd like to learn more, you can read aboutour interview process and meet some of the team onour website.

Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics

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