Quantitative Researcher

We are looking for Quantitative Researchers tohelp us build models, strategies, and systems thatprice and trade financial instruments. You’ll workside by side with experienced researchers who are committed to teaching, guiding, and supporting ournewest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other andwork together to train models, architect systems,and run trading strategies. We work with 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.Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying howour model likes to trade in production.

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 deeplearning, depending on what best fits a given problem. The most successful researchers will bedriven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

If you’ve never thought about a career infinance, you’re in good company. Many of us werein the same position before working here. If youhave a curious mind and a passion for solving interesting problems, we have a feeling you’ll fitright in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds andareas of expertise

Most candidates will have experience with data science or machine learning, but ultimately, we’remore interested in how you think and learn thanwhat you currently know. PhD or other research experience is a plus.

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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