ApplySarthiQuantitative Researcher
Jane Street
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This role on the market
292 open quantitative roles across 49 companies are on ApplySarthi right now, most of them in Mumbai (8), Delhi NCR (4), Hyderabad (2).
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What quantitative roles keep asking for: Python (80%), Machine learning (46%), C++ (33%), SQL (27%), R (18%) — counted across their open postings here.
Quantitative Researcher jobs in the United Kingdom · Quantitative Researcher jobs in London · Deep learning jobs · Machine learning jobs · Python jobs
Jane Street has 217 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for quantitative roles keep coming back to Python, Machine learning, C++, SQL. Practise those questions before you sit with Jane Street.
Questions you are likely to be asked
- Why do you want to join Jane Street?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
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Practise the Quantitative Researcher at Jane Street interview free →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” 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. 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
- Fluent in English
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.
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Listed on greenhouse · posted 2026-08-03. ApplySarthi collects openings and links to application pages; the role is advertised by Jane Street, not by us.