Equity Quantitative Research (EQR) is one of the fastest growing systematic investing businesses. We seek to capitalize on market inefficiencies identified through a combination of structural analysis, leading-edge quantitative research and technology. EQR trades billions of dollars a day by applying statistics, computer science and economic principles.
EQR manages several systematic and semi-systematic equities strategies in addition to equities trading. Every investment idea or trade requires an understanding of market flows, sophisticated mathematics and large-scale data analysis.
Quantitative researchers (QR) and quantitative developers (QD) apply rigorous statistical methods to diverse datasets to identify novel and idiosyncratic signals grounded in economic practicality. QRs and QDs work together closely to rapidly develop, deploy and scale these systematic strategies.
Being the best at blending structural, technique-based modeling and systematic investing requires precision and creativity. Our expertise allows us to decode how behavioral phenomena translate into trade opportunities across multiple time horizons.
We have greenfield opportunity for continued exploration and find value in constant experimentation, whether we’re deploying novel techniques or reframing existing problems to find new strategies that generate alpha.
EQR operates in small, highly collaborative teams. Our open environment invites everyone to solve the shared challenges that drive our performance. Our people’s technical expertise, sharp perspectives and bias for action enable us to extract value and explore opportunities others miss.
Each team member, whether from industry or academia, recently graduated or professionally accomplished, contributes critical perspectives. Autonomy and knowledge sharing go hand in hand, creating a culture of accelerated learning and growth. As we continue to expand and add new strategies, every member of our team plays a direct role in shaping that growth.
Our team members have backgrounds in mathematics, finance and engineering. Diverse perspectives drive innovation in our investment strategies.
72% of our researchers earned advanced degrees, ensuring our work is grounded in deep scholarship and quantitative excellence.
65% of our team comes from computer science disciplines, reflecting the strong engineering culture that underpins our quantitative discipline.
Perry Vais Head of Equity Quantitative Research
Perry Vais is Head of Equity Quantitative Research at Citadel, responsible for overseeing the underlying research and analytics for the firm’s equity platforms and systematically managed portfolios.
Prior to assuming his current role, Perry served as Global Treasurer at Citadel, where he oversaw the firm’s central funding strategy and execution. He joined Citadel in 2019 as Head of Treasury Analytics. Before that, he spent 13 years at Blue Mountain where he served in several key leadership positions, including Head of Trading Technology, Co-Head of Risk Management, Head of Quantitative Strategies, Chief Technology Officer and Head of Systematic Investing.
Perry received a bachelor’s degree in computer science from Binghamton University.
