Quantitative Researcher Internship, June-September
Jane Street· Trading, Research, and Machine Learning
Hybrid (London) internshipPosted 2mo ago
About the role
Internship position at Jane Street offering hands-on experience in quantitative research, with exposure to data analysis, model building, and trading strategy development, plus coursework and seminars to understand markets and the full lifecycle of bringing a signal to production.
Responsibilities
- Work closely with full-time Quantitative Researchers on projects drawn from their own work.
- Learn how to identify market signals, analyse large datasets, build and test models, and create new trading strategies.
- Gain understanding of experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.
- Attend classes on fundamentals of markets and trading, lunch seminars, and activities related to producing a trading strategy from exploration to productionizing a signal.
Qualifications
- Experience with data science or machine learning (candidates with varying backgrounds encouraged).
- Able to apply logical and mathematical thinking to problems.
- Intellectually curious; eager to ask questions, admit mistakes, and learn new things.
- Strong programming ability in Python.
- Open-minded thinker and precise communicator who collaborates with diverse backgrounds.
- Fluent in English.
- Most interns are current undergraduate or graduate students; research experience is a plus.
Skills
Required:Python programmingData analysis
Nice to have:Machine learning
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Jane Street
SIX
Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.
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