Leo Kodners
About Leo Kodners
Leo Kodners is a Quantitative Developer with extensive experience in the finance sector, currently working at Squarepoint Capital since 2021. He has a strong background in Jupyter core development and specializes in building distributed machine learning and data analysis platforms.
Work at Squarepoint Capital
Leo Kodners has been employed at Squarepoint Capital as a Quantitative Developer since 2021. In this role, he focuses on building distributed machine learning and data analysis platforms. His work contributes to the firm's quantitative strategies and data-driven decision-making processes.
Experience at J.P. Morgan
Kodners has extensive experience at J.P. Morgan, where he held various positions from 2013 to 2021. He began as a Summer Intern in 2013 for two months in London. He then progressed to roles as an Analyst from 2014 to 2017, Associate from 2017 to 2020, and Vice President from 2020 to 2021. His responsibilities included developing quantitative models and supporting data analysis initiatives.
Education and Expertise
Leo Kodners studied at the University of Warwick, where he earned a Master of Engineering (MEng) degree in Electronic Engineering from 2010 to 2014. He has expertise in Jupyter core development, which enhances his capabilities in data analysis and machine learning applications.
Background
Kodners has a strong background in quantitative finance and technology. His career trajectory reflects a commitment to developing advanced analytical tools and platforms. His experience spans several years in high-pressure environments, where he has honed his skills in machine learning and data analysis.