John Malcolm
About John Malcolm
John Malcolm is a Financial Engineer with expertise in integrating quantum computing techniques into financial engineering processes. He holds a Ph.D. in Theoretical Hard Condensed Matter Physics and has experience in model validation within the financial sector.
Work at Multiverse Computing
John Malcolm has been employed at Multiverse Computing as a Financial Engineer since 2021. In this role, he focuses on integrating quantum computing techniques into financial engineering processes. He has contributed to the development of quantum-inspired solutions specifically designed for financial applications, leveraging his expertise in both finance and quantum computing.
Education and Expertise
John Malcolm holds a Ph.D. in Theoretical Hard Condensed Matter Physics from the Guelph-Waterloo Physics Institute, which he completed from 2013 to 2017. He also earned a Master of Advanced Study in Applied Mathematics from the University of Cambridge in 2013. Additionally, he obtained an Honours Bachelor of Science in Chemical Physics from the University of Guelph, graduating in 2011. His educational background supports his expertise in model validation and the integration of quantum computing within the financial sector.
Background
John Malcolm has a diverse background in both finance and physics. He began his career as a Student Intern at Diamond Light Source in 2012, where he gained practical experience in a scientific environment. He later worked at Ontario Teachers' Pension Plan as a Senior Manager from 2017 to 2021, where he applied his skills in financial engineering before joining Multiverse Computing.
Achievements in Financial Engineering
During his tenure at Ontario Teachers' Pension Plan, John Malcolm served as a Senior Manager, where he contributed to various financial projects. His work involved model validation and the application of advanced mathematical techniques. At Multiverse Computing, he has played a significant role in developing quantum-inspired financial solutions, showcasing his ability to bridge the gap between quantum computing and financial engineering.