Bart Melman
About Bart Melman
Bart Melman is a Quantitative Researcher currently employed at Squarepoint Capital in London, England. He has a diverse background in quantitative finance, machine learning, and electrical engineering, with previous roles at various companies including TOPdesk, RE5Q Holding, and Robeco.
Current Role at Squarepoint Capital
Bart Melman has been working as a Quantitative Researcher at Squarepoint Capital since 2021. His role involves applying quantitative methods to analyze financial data and develop trading strategies. Squarepoint Capital is known for its focus on quantitative investment strategies, and Melman's expertise contributes to the firm's analytical capabilities in the financial markets.
Previous Experience in Quantitative Research
Before joining Squarepoint Capital, Bart Melman gained experience as a Machine Learning Engineer at RE5Q Holding from 2019 to 2021. In this role, he focused on implementing machine learning algorithms to enhance data analysis processes. Additionally, he completed a Quant Internship at Robeco in 2018, where he gained insights into quantitative finance and investment strategies.
Educational Background
Bart Melman holds a Master of Philosophy (MPhil) in Machine Learning and Machine Intelligence from the University of Cambridge, which he completed from 2018 to 2019. He also earned a Master's degree in Econometrics & Management Science with a specialization in Quantitative Finance from Erasmus School of Economics in 2018. Earlier, he obtained a Bachelor of Science (BS) in Electrical Engineering from Technische Universiteit Delft, graduating in 2017.
Early Career Experience
Bart Melman's early career included various roles that provided him with a diverse skill set. He worked as an Electrical Engineer at E-Trailer B.V. from 2016 to 2017, focusing on electrical systems. He also served as a Sales Representative at TOPdesk for one month in 2015 and briefly worked as an Analyst at Zanders in 2018. These positions contributed to his foundational knowledge in both technical and analytical domains.