Machine Learning Researchers - Hybrid
My client is a stealth quantitative hedge fund. Their strategy spans mid-frequency trading (MFT) across equities, crypto, and futures. The broader ambition extends beyond trading performance toward eventually funding advanced research initiatives in science and engineering.
The team includes quantitative researchers and developers from leading firms such as Two Sigma, Point72, WorldQuant, and SpaceX.
Qualifications for ML Researcher
- Recent, or soon to be graduate at a top international university, with relevant course work, internship, or other applicable experience or knowledge
- Masters degree (PhD preferred) in a quantitative or related field such as Machine Learning, Mathematics, Statistics, Computer Science, or Physics.
- Strong communication skills with the ability to collaborate with teammates globally
- Strong sense of urgency with the ability to work well in a fast-paced environment
- Programming skills essential, with at least one major programming or scripting language, strong preference for Python.
If you are interested in the ML Researcher role then apply here.