The Head of AI/ML Research at a leading Multi-Manager Fund is actively seeking a Machine Learning Researcher to join their team build. The hiring manager is seeking out someone who can identify ways to incorporate deep learning models for generating signals in Equity and Futures markets. The ML Researcher will take part in laying out the research agenda by identifying cutting edge models and complementing them with traditional methods to assist in trading strategy development.
The team is led by an ex-FAANG Research Scientist and prior finance experience is not a requirement for this opportunity. This role presents itself as a strong stepping stone for someone who is looking to utilize their preexisting skillset and gain exposure to a new industry with massive growth potential.
While the team is fairly flexible in terms of the talent they are seeking out, the ideal candidate should have:
- 2+ years applied ML research experience (buyside, sellside, FAANG or notable tech start-ups)
- PhD background in STEM field (Physics, Computer Science, Statistics, EE, Mathematics, Operations Research)
- Previous experience training deep learning models
- Exposure to transformer models is a PLUS
- Advanced Python background
- Strong communication skills/ability to work in a team environment
- Desire to work in a front office, fasted paced team
*Important to note that the fund is overall very flexible on location and can allow for this person to sit from Boston, San Francisco, NYC or Chicago
