Role Overview
Jane Street is hiring a Quantitative Researcher. This is a full-time role in New York, New York. Part of Jane Street's Trading hiring, posted 6 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Trading roles is $140k-$190k (based on 173 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
About the Position
We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest 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 and work 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 how our model likes to trade in production.
We don’t believe in “one-size-fits-all” modeling 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. The most successful researchers will be driven 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.
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. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right 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 and areas of expertise
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. PhD or other research experience is a plus.
If you’d like to learn more, you can read about our interview process and meet some of the team.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
About Jane Street
Jane Street
janestreet.com
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Frequently Asked Questions
How do I apply for the Quantitative Researcher position at Jane Street?
Use the Apply button above to submit your application directly to Jane Street. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Quantitative Researcher position at Jane Street located?
This position is based in New York, New York. Jane Street has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Quantitative Researcher at Jane Street earn?
Jane Street has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Quantitative Researcher role at Jane Street posted?
This role was posted on July 6, 2026 (6 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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