A Quant Equity team embedded in a $20bbn Hedge Fund is looking for a ML Quantitative Researcher/Research Scientist to join. The team is largely focused on intraday/multi-day strategies on global equities with a soft focus on US markets. The incoming researcher will be entrusted with the end-to-end research lifecycle, from ideation to production, of utilizing deep learning models for signal and strategy development.
A Quant Equity team embedded in a $20bbn Hedge Fund is looking for a ML Quantitative Researcher/Research Scientist to join. The team is largely focused on intraday/multi-day strategies on global equities with a soft focus on US markets. The incoming researcher will be entrusted with the end-to-end research lifecycle, from ideation to production, of utilizing deep learning models for signal and strategy development.
The team lead has been a veteran in the quant finance space and fosters a collaborative environment within the group. This hire will be pivotal in offering their expertise in machine learning research and spearhead the diverse ways in which the team can further incorporate such models to build out strategies and further generate PnL. The ideal candidate for the role will have:
• 3+ years experience as a Quantitative Research, Research Scientist or ML Researcher (preference for those coming from buyside firms but also open to candidates coming from the sell-side or AI tech companies)
• Advanced mathematics, statistics and probability modeling skillset
• Proven track-record in deep learning research
• Strong Python (+ associated packages)
• Desire to work in a front office, team-centric environment
