Jane Street logo
Jane Street
Verified live 2d ago

Quantitative Researcher

Brief overview

New York, New York, United StatesIn-person
153 H-1B approvalsDept. of Labor
53 green cardsCertified filings
Experiment designDataset generationTime series analysisFeature engineeringModel buildingPython programmingStatistical modelingMachine learningDeep learningDistributed trainingProblem-solvingCollaborative communication

About the company

Jane Street logo
Jane Streetjanestreet.com

Leaders in proprietary trading and technology innovation.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
153H-1B approved
98%approval rate
93new H-1B hires
53PERM certified
$300,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202342
202451
202556
20264
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20239
20247
202514
20269
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20239
202421
202523
Top sponsored roles
Software EngineerTraderProduction EngineerTrading Desk Operations EngineerSOFTWARE ENGINEER
Sponsored employees from
CanadaChinaIndiaAustraliaGhana

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 apply your experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

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 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 machine learning 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, though your approach to problem-solving and capacity to learn will weigh just as heavily as your existing expertise. Having a PhD or other research experience is a plus.

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

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