Richard Neuberg
About Richard Neuberg
Richard Neuberg is the Quantitative Research Vice President at Two Sigma, where he has worked since 2016. He holds a PhD in Statistics from Columbia University and has previous experience as an intern at Google and as a lecturer at Columbia.
Work at Two Sigma
Richard Neuberg has served as the Quantitative Research Vice President at Two Sigma since 2016. In this role, he contributes to the development and implementation of quantitative strategies in financial markets. His tenure at Two Sigma spans over eight years, during which he has been involved in various research initiatives aimed at enhancing the firm's investment processes. The firm is known for its data-driven approach and Neuberg's expertise in statistics plays a crucial role in its operations.
Education and Expertise
Richard Neuberg holds a Doctor of Philosophy (PhD) in Statistics from Columbia University, where he studied from 2012 to 2016. He also earned a Master of Arts (MA) in Statistics from the same institution, completing his studies in 2013. Prior to his time at Columbia, he obtained a Master of Science (MS) in Economics and Engineering from Technische Universität Dresden, which he completed in 2011. His educational background equips him with a strong foundation in quantitative analysis and statistical methodologies.
Previous Experience
Before joining Two Sigma, Richard Neuberg gained diverse experience in various roles. He interned at Google for three months in 2015, where he was exposed to cutting-edge technology and data analysis. Additionally, he worked as a Lecturer at Columbia University for six months in 2014, sharing his knowledge in statistics with students. His earlier experience includes a role as a Research Associate at TU Dresden from 2011 to 2012 and an internship at Deutsche Bank from 2007 to 2008.
Academic Contributions
During his academic career, Richard Neuberg has contributed to the field of statistics through teaching and research. His position as a Lecturer at Columbia University allowed him to engage with students and foster their understanding of statistical concepts. His research work during his time as a Research Associate at TU Dresden also reflects his commitment to advancing knowledge in quantitative methods.