Julio Brau
About Julio Brau
Julio Brau is a Machine Learning Researcher at Engineers Gate in London, United Kingdom, where he has worked since 2017. He previously held positions at the University of Bristol and Morgan Stanley, and he earned his PhD in Mathematics from the University of Cambridge.
Work at Engineers Gate
Julio Brau has been employed at Engineers Gate since 2017, where he serves as a Machine Learning Researcher. His role involves applying machine learning techniques to enhance trading strategies and financial models. Based in London, United Kingdom, he has contributed to the firm's research initiatives for over seven years, focusing on the intersection of finance and advanced computational methods.
Previous Experience in Academia
Before joining Engineers Gate, Julio Brau worked as a Postdoctoral Research Associate at the University of Bristol from 2015 to 2016. In this position, he engaged in research projects that likely involved advanced mathematical modeling and analysis, contributing to the academic community during his one-year tenure in Bristol, United Kingdom.
Experience at Morgan Stanley
Julio Brau held the position of Quantitative Analyst at Morgan Stanley from 2014 to 2015. During this year in London, United Kingdom, he focused on quantitative research and analysis, utilizing mathematical and statistical methods to support financial decision-making and risk management within the firm.
Education and Expertise
Julio Brau earned his Doctor of Philosophy (PhD) in Mathematics from the University of Cambridge, where he studied from 2010 to 2014. His academic background provides a strong foundation in mathematical theories and applications, which he applies in his current research in machine learning and quantitative analysis.