Jane Street Logo

Jane Street

Quantitative Researcher

Reposted 15 Days Ago
In-Office
New York, NY, USA
Internship
In-Office
New York, NY, USA
Internship
Work alongside quantitative researchers to identify market signals, analyze large financial datasets, design and test models, and develop trading strategies. Participate in classes, seminars, and collaborate on end-to-end strategy production, including experiment design, feature engineering, and model validation.
The summary above was generated by AI
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 [email protected].

HQ

Jane Street New York, New York, USA Office

250 Vesey Street, New York, NY, United States, 10281

Similar Jobs

5 Days Ago
Hybrid
New York, NY, USA
300K-350K Annually
Expert/Leader
300K-350K Annually
Expert/Leader
Financial Services
Develop quantitative models and real-time pricing engines for Agency Mortgage-Backed Securities, execute electronic trading strategies, perform hedge and relative-value analysis, build cashflow and analytics engines, integrate market data APIs, and lead a distributed team to deliver trading tools and operational improvements for the agency trading desk.
Top Skills: Bloomberg ApiC#C++CvsExcel VbaGitIntex Deal MakerPythonYieldbook Api
6 Days Ago
In-Office
New York, NY, USA
133K-162K Annually
Junior
133K-162K Annually
Junior
Fintech • Information Technology • Financial Services
Join Systematic Active Equity to research and develop alpha-generating strategies by applying statistics, econometrics, machine learning and AI to large, complex datasets. Conduct hypothesis testing, simulation and backtesting, build scalable research pipelines, and partner with portfolio managers and engineers to deploy ideas into live investment strategies.
3 Days Ago
In-Office
New York, NY, USA
180K-225K Annually
Junior
180K-225K Annually
Junior
Financial Services
Develop econometric and statistical models to forecast asset price movements and macro variables, implement and validate algorithmic trading strategies, automate data processing in Python, monitor live trading automations and associated risk, and analyze macroeconomic releases and BLS datasets.
Top Skills: Bls DatasetsEconometric ModelingMachine LearningPythonRegression AnalysisStatistical InferenceTime Series AnalysisTrading Automation

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account