Students

We welcome students interested in quantitative finance, regardless of experience level. You’ll work on real projects, participate in trading competitions, and learn from experienced mentors.

What you’ll gain:

Benefit Description
Hands-on Experience Work on backtesting platforms, ML models, and trading systems
Competition Experience Participate in challenges from Citadel, Jane Street, IMC and more
Industry Skills Learn Python, Docker, Git, and production-grade development
Mentorship Guidance from supervisors with industry experience

Skills we’re looking for:

Python C++ Finance Mathematics Statistics Machine Learning

No need to have all of these - willingness to learn is what matters most.


Supervisors

We’re also looking for experienced professionals to mentor students. If you have industry experience in quantitative finance, trading, or software engineering, consider joining as a supervisor.

What supervisors do:

Role Description
Mentorship Guide students through projects and competitions
Code Review Help maintain code quality and best practices
Industry Insight Share real-world experience and career advice
Research Direction Help shape research topics and approaches

Time commitment: Flexible, typically a few hours per week for code reviews and guidance.


Apply

Google Drive, Dropbox, or LinkedIn (optional but recommended). Make sure it's set to public!

What Happens Next

We review applications within 5-7 business days. If there’s a good fit, we’ll reach out to schedule a chat.

Questions? Reach out on LinkedIn ↗