Early Career Radar
Quant · Not specified

Quantitative Researcher Intern

Jane Street

Location
New York, NY · New York City, NY
Opening date
Opened Jul 7
Source
Summer 2027 Tech Internships
Employer posting

Job description

Captured from employer · Sep 5, 2026

ship, New York:: Jane Street Jane Street Group, LLC uses cookies and similar technologies, including third-party cookies, on this Site to provide basic functionalities and perform analytics. You may accept or decline cookies by selecting “Accept” or “Reject”. For information regarding our cookie practices, see Jane Street’s Ad and Cookie Policy. Accept All Reject All

THE LATEST

CULTURE

JOIN JANE STREET

mobile navigation menu toggle

OVERVIEW

CLIENT OFFERING

GLOBAL CAPITAL MARKETS

The Latest Culture

OVERVIEW

BENEFITS

OUR OFFICES

STREET VIEW

PUZZLES

Join Jane Street

OVERVIEW

DEPARTMENTS

OPEN ROLES

PROGRAMS AND EVENTS

INTERNSHIPS

INTERVIEWING

CONTACT US

  • Disclosures & Policies
  • Privacy
  • Fraud and Impersonation

Warnings Join Jane Street Open roles

Quantitative Researcher Internship, May-August

LOCATION

NYC

DEPARTMENT

Trading, Research, and Machine Learning

TEAM

Quantitative Research Apply Share this job

About the Position

Our goals are to give you a real sense of what it’s like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You’ll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies.

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to 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. 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.

You’ll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal. 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.

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

Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. 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. Learn more about Jane Street’s internship program here. If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com. Base salary is $300,000.

Jane Street is an Equal Opportunity Employer Apply Share this job Helpful Links web page Internships at Jane Street web page Quantitative Research at Jane Street Find out what Researchers are responsible for at Jane Street, what working functionally means to us and more about an internship in Research.

GTKU

Get to Know Us: Alok talks Research Our office in New York

Qualifications

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 Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance.

Private to you

Application tracker

Keep the exact resume, contact, and follow-up notes with this role.View all applications →

Saved to this browser unless you connect an account; connected records follow your verified account across devices.

Timeline

0 entries