INTERNSHIP DETAILS

Quantitative Researcher

CompanyJane Street
LocationHong Kong
Work ModeOn Site
PostedApril 29, 2026
Internship Information
Core Responsibilities
Interns will work closely with full-time researchers on projects, gaining insights into market signals and trading strategies. They will also participate in classes and seminars to understand the trading process.
Internship Type
full time
Company Size
3544
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

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. More than twenty years after our founding, it still feels like we’re just getting started. Jane Street does not offer any services to individual investors: https://www.janestreet.com/fraud-and-impersonation-warnings/
About the Role

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, and 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. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. 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. 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
  • Fluent in English

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.

Please note: Jane Street will provide flights to and from Hong Kong as well as accommodation throughout the entirety of the program.

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

Key Skills
Data ScienceMachine LearningStatistical TechniquesPythonExperiment DesignDataset GenerationTime Series AnalysisFeature EngineeringModel BuildingCollaborationCommunicationLogical ThinkingMathematical ThinkingIntellectual CuriosityProblem Solving
Categories
Finance & AccountingData & AnalyticsScience & ResearchTechnology