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Jane StreetNew York City, NYInternship
Quantitative Trader
This internship offers hands-on experience as a Quantitative Trader at Jane Street, combining research, technology, and trading. Interns work on real projects, receive mentorship, and participate in classes and mock trading sessions to develop trading intuition and quantitative skills.
1
Role and Responsibilities
- Work with experienced quantitative traders to identify market signals and execute strategies.
- Construct quantitative models and conduct statistical analysis.
- Build trading intuition through real-world projects and mentorship.
- Analyze datasets, train predictive models, and simulate trading strategies.
- Write tools used in production and explore big-picture trading questions.
2
Elective Options
- Machine Learning, Modeling, and Data Science: Apply ML techniques to market data and train models.
- Algorithmic Trading and Market Microstructure: Develop and optimize algorithmic trading strategies in Python.
- Trading Strategy and Scenarios: Engage in mock trading sessions based on real trading desk events.
3
About the Team and Environment
- Access to extensive data, computing clusters, and GPU resources.
- Integration of research, technology, and trading functions.
- Collaborative culture emphasizing learning and problem-solving.
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Candidate Requirements
- Strong quantitative thinking skills; no specific degree required.
- Effective verbal and written communication skills.
- Enjoys collaborative teamwork and learning from mistakes.
- General programming experience is a plus but not mandatory.