Jane Street is seeking talented quantitative research interns who can work on real-world trading and research projects. Interns will collaborate with full-time employees, develop trading models, analyze datasets, and explore complex financial problems using advanced computational techniques.
Primary responsibilities include conducting research studies on financial datasets, building research tools, developing trading strategies, performing time series analysis, and creating advanced proprietary trading models using machine learning and statistical techniques.
Required skills include strong programming abilities (especially in Python), mathematical and logical thinking, data science or machine learning experience, ability to work collaboratively, and intellectual curiosity about solving complex quantitative problems.
The internship offers mentorship from experienced researchers, exposure to cutting-edge trading technologies, opportunities to work on real-world projects, comprehensive learning experiences, and potential full-time employment for outstanding performers.
