Quantitative Researcher

11 Hours ago • All levels

Job Summary

Job Description

As a Quantitative Researcher at Jane Street, you will build models, strategies, and systems for pricing and trading financial instruments. The role involves utilizing petabytes of data, a large computing cluster, and a growing GPU cluster to develop trading strategies in dynamic and adversarial markets. You'll work in a collaborative environment, blurring the lines between trading and research, and adapt findings into actionable strategies. The ideal candidate will be intellectually curious, a strong programmer proficient in Python, and enjoy collaborating with colleagues from diverse backgrounds. Experience in data science or machine learning is a plus.
Must have:
  • Apply logical and mathematical thinking
  • Intellectually curious and eager to learn
  • Strong programmer comfortable with Python
  • Open-minded thinker and precise communicator
Good to have:
  • PhD or other research experience

Job Details

About the Position

We are looking for quantitative researchers to help us build models, strategies, and systems that price and trade financial instruments. Our advanced proprietary trading models are the backbone of our operation, enabling us to identify profitable trading opportunities across hundreds of thousands of financial products daily, in over 200 trading venues globally.

Our success is rooted in a deep understanding of the markets, a collaborative spirit between researchers and traders, and a desire to continuously challenge the status quo. At Jane Street, you will work alongside a tight-knit team, utilising petabytes of data, our computing cluster with hundreds of thousands of cores, and our growing GPU cluster containing thousands of A/H100s to develop trading strategies in adversarial markets that evolve every day. Signals are small; noise is high.

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. Your ability to venture into new and uncharted territories of data analysis, while maintaining a clear focus on the ultimate goal, will be key.

At Jane Street, we blur the lines between trading and research, fostering a fluid environment where teams work in a tight loop to solve complex problems. The most successful researchers will be driven by their 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 in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in.

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

About You

We don’t expect you to have a background in finance or any other specific field — we’re looking for smart, ambitious people who enjoy solving challenging problems. Most candidates will have experience with data science or machine learning, but ultimately, 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 — 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 and areas of expertise
  • PhD or other research experience a plus
  • Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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About The Company

Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.



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