Justin De Vito
About Justin De Vito
Justin De Vito is a quantitative trader with extensive experience in programming and market risk management, particularly in Asian and European markets. He has held various research and analytical roles at prestigious institutions and currently works at Old Mission in London.
Current Role at Old Mission
Justin De Vito currently serves as a Quantitative Trader at Old Mission, a position he has held since 2019. His role involves managing market risk, particularly in the Asian and European markets. He focuses on cross-book Depository Receipt trading, utilizing his expertise in quantitative analysis to inform trading strategies. His ongoing contributions to the firm are supported by his strong programming skills in languages such as Python, Matlab, and C.
Previous Experience in Quantitative Trading
Prior to his current position, Justin De Vito worked at Old Mission as a Quantitative Trader for 10 months from 2018 to 2019. His experience in this role laid the groundwork for his current responsibilities. He also held positions at Rice University and ADV Investment Management, where he gained valuable insights into securities analysis and market dynamics.
Education and Expertise in Mathematics
Justin De Vito earned a Master’s Degree in Applied Mathematics from Imperial College London, where he studied from 2014 to 2015. His academic background is complemented by a Bachelor’s Degree in Chemical and Biomolecular Engineering from Rice University, which he completed from 2008 to 2013. This educational foundation supports his proficiency in quantitative trading and data analysis.
Research Experience
Justin De Vito has a background in research, having worked as a Researcher at Rice University in 2012 and again from 2013 to 2014. He also served as a Research Assistant in Data Science at Imperial College London from 2015 to 2017. These roles provided him with extensive experience in data analysis and quantitative methods, which are essential in his current trading activities.
Programming Skills for Quantitative Trading
Justin De Vito possesses strong programming skills in Python, Matlab, and C. These programming languages are critical for quantitative trading and data analysis, enabling him to develop algorithms and models that inform trading decisions. His technical expertise enhances his ability to manage market risk effectively.