A Senior Quantitative PM focused on Equity Stat Arb strategies is looking for an Equity QR to join their team in NYC. The PM is specifically looking for someone with a PhD background (ideally with 2-4 years of buyside QR experience but will entertain exceptional PhD/Postdoc candidates from academia) who they can mentor and entrust with mid-frequency signal/strategy development on global equity markets (US equities primarily).

The hiring manager has built a name for himself in the industry after 15+ years of managing portfolios and succesfully mentoring QRs early on in their career. The incoming QR will analyze massive datasets using statistical and machine learning methods to identify + combine alpha signals with holding periods on the scale of days-to-weeks horizons.

This is a unique opportunity for those looking for a PM with a stable, consistently profitable track-record who also finds enjoyment in equipping QRs early on in their career with a rigorous, proven approach in developing stat arb trading strategies.

The ideal candidate for this role will have:

• 2-4 years of buyside equity stat arb experience (will entertain exceptional candidates that are more junior)
• Strong fundamental skillset in statistical + machine learning modeling
• Experience working with large, complex datasets
• Exceptional problem solving and modeling capabilities
• Strong Python or C++ experience
• Enjoys working in a collaborative team