About the opportunity
This internship is designed to mirror the work of a full-time Quantitative Trader rather than give interns a detached training project. You are paired with experienced traders and work on problems drawn from their day-to-day trading and research, while also going through an intensive teaching programme.
What you will work on
- Identifying market signals and analysing how they can be turned into trading decisions.
- Constructing quantitative models, running statistical analysis, and testing trading ideas.
- Analysing new or existing datasets, training predictive models, and simulating potential strategies.
- Writing tools that may be used in production and investigating larger research questions where the answer is not known in advance.
Jane Street deliberately mixes trading, research, and technology. Interns can work with petabyte-scale data, very large CPU compute clusters, and a substantial GPU environment. The firm explicitly uses whichever modelling approach fits the problem, ranging from relatively simple statistical models to modern machine-learning methods.
Training and electives
The programme includes classes, workshops, and team-based mock trading. Quant Trading interns can also go deeper into one elective area: Machine Learning, Modelling & Data Science; Algorithmic Trading & Market Microstructure; or Trading Strategy & Scenarios. The market-microstructure elective includes building a fair value from market data, implementing a strategy in Python, and connecting it to simulated markets with different structures.
What Jane Street looks for
No specific degree, major, or finance background is required. The core requirements are strong quantitative thinking, clear communication, collaboration, curiosity, and willingness to learn from mistakes. General programming experience helps, but Jane Street does not require a particular language.
