A low-profile, high-performing Quant Fund in the Greater New York City area is looking for a Quantitative Researcher to join their fund. The firm prides itself on its flat, academic and collaborative environment and has steadily built out a group of Quant Researchers and Research Engineers to bring their systematic strategies to life. After 10+ years of very profitable systematic strategies focused on global futures markets, the fund is continuing their expansion into the cash equities space and in turn opening up two new QR headcount within the firm.
The firm has maintained a very controlled and sustained growth plan over the years and values both raw quantitative capabilities coupled with the desire to work in a flat, team-centered environment. As a result, they are open to candidates coming from exceptional PhD/Postdoc backgrounds, experienced QRs and ML Researchers from Big Tech who share a similar ambition in tackling ambitious problems in a collaborative manner.
Suitable candidate for the fund include:
- MS or PhD from Tier-10 schools in a STEM field (Physics, Mathematics, Computer Science, Electrical Engineering, Operations Research)
- If coming from industry, 2+ years experience working on alpha generation and/or optimization work (equities is preferred but open to seeing candidates from other assets)
- If from tech, 2+ years experience working on ideation and novel ML model development specific to more advanced deep learning methods
- Very strong Python (C++ is nice to have but not necessary)
- Thrives in a flat structure
- Strong communication skills
- Strong quantitative and reasoning skillset
