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Internship Systematic Trader Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

... real-world systematic trading strategies. You'll learn how we think about markets through ... You'll spend the bulk of your internship working closely with full-time machine learning ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

... real-world systematic trading strategies. You'll learn how we think about markets through ... You'll spend the bulk of your internship working closely with full-time machine learning ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with ... Alongside its systematic investment activities, the firm also operates discretionary strategies ...

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Internship Systematic Trader information

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How much do internship systematic trader jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship systematic trader in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Internship Systematic Trader vs Internship Quantitative Analyst?

AspectInternship Systematic TraderInternship Quantitative Analyst
Required CredentialsTypically pursuing or holding a degree in finance, mathematics, or computer scienceSimilar educational background, often with emphasis on statistics, mathematics, or finance
Work EnvironmentTrading firms, hedge funds, or asset management companies focusing on algorithmic tradingFinancial institutions, research firms, or investment banks analyzing data and developing models
Employer & Industry UsageCommonly used in trading and hedge fund industriesWidely used across finance, research, and investment sectors

While both roles require strong quantitative skills and similar educational backgrounds, an Internship Systematic Trader focuses on developing and executing trading algorithms in live markets, whereas an Internship Quantitative Analyst emphasizes data analysis and model development for investment strategies. The roles often overlap but differ mainly in their primary focus and application within the finance industry.

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What are the most commonly searched types of Systematic Trader jobs? The most popular types of Systematic Trader jobs are:
What states have the most Internship Systematic Trader jobs? States with the most job openings for Internship Systematic Trader jobs include:
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Internship Systematic Trader jobs near you
Infographic showing various Internship Systematic Trader job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.
Machine Learning Researcher

Machine Learning Researcher

Jane Street

New York, NY • On-site

Other

Re-posted 3 days ago

Job description

About the Position

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models.

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 thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques.

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

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. We're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks 
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things

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.

Apply