Hector Maclean
About Hector Maclean
Hector Maclean is a Quantitative Researcher at Squarepoint Capital in London, England, with extensive experience in software development and quantitative analysis across various financial institutions. He holds a BSc in Physics from the University of St Andrews and an MSc in Evolutionary and Adaptive Systems from the University of Sussex.
Work at Squarepoint Capital
Hector Maclean has been employed as a Quantitative Researcher at Squarepoint Capital since 2021. His role involves applying quantitative methods to financial markets, contributing to the firm's research initiatives in London, England. His tenure at Squarepoint Capital spans three years, during which he has focused on enhancing the firm's quantitative strategies.
Previous Employment History
Hector Maclean has a diverse employment history in the finance and technology sectors. He worked at Nomura International plc as a Software Developer and Automat Designer from 2001 to 2003. He then served as a Quantitative Developer at Tower Research Capital from 2017 to 2019. Prior to that, he was a Software Developer at JPMorgan Chase from 2012 to 2017. His experience also includes roles at BNP Paribas, Barclays Capital, and Infinium Securities, where he focused on algorithmic trading and software development.
Education and Expertise
Hector Maclean holds a Bachelor of Science with Honours in Physics from the University of St Andrews, which he completed from 1986 to 1990. He furthered his education with a Master of Science in Evolutionary and Adaptive Systems from the University of Sussex in 1998. His expertise includes the application of Ockham's razor to software design and the automation of rational decision-making processes, with a focus on modeling complex systems.
Technical Skills and Specializations
Hector Maclean specializes in the automation of rational decision-making processes, leveraging his extensive background in software development and quantitative research. His technical skills encompass algorithmic trading, software applications development, and quantitative modeling. He has worked with various financial institutions, applying his knowledge to enhance trading strategies and software design.