Matthew Clarke
About Matthew Clarke
Matthew Clarke is a Data Analyst at ULTUMUS, where he has worked since 2019. He has a diverse background in data analysis, having held various roles in the financial and scientific sectors, and holds multiple degrees in Medicine, Genomics, and Biochemistry.
Work at Ultumus
Matthew Clarke has been employed at Ultumus as a Data Analyst since 2019. In this role, he focuses on developing futures trading models and neural networks. Prior to his current position, he served as a Senior Analyst at Ultumus from 2016 to 2019, where he gained extensive experience in the financial data sector.
Previous Experience in Financial Services
Before joining Ultumus, Matthew Clarke worked at IHS Markit as Assistant Vice President and Product Services Lead for eight months in 2016. He also held the position of Index & ETF Lead Analyst at DeltaOne Solutions from 2014 to 2015. His experience in these roles contributed to his expertise in exchange-traded funds (ETFs), indices, and custom equity baskets.
Educational Background
Matthew Clarke studied at the University of Surrey, where he earned a Master of Science in Medicine from 2007 to 2010 and a Master's in Genomics from 2010 to 2013. He also holds a Bachelor of Science in Biochemistry from Brunel University London, which he completed from 2001 to 2005. His foundational education includes a comprehensive curriculum at The King John School, where he studied various subjects including Mathematics and Physics.
Experience in Scientific Research
Matthew Clarke has a background in scientific research, having worked as a Research Student at the University of Surrey from 2010 to 2013. Earlier in his career, he was employed at EVOTEC UK Ltd as a Scientist from 2007 to 2008 and as a Chemical Data Scientist from 2008 to 2009. This experience has provided him with a strong analytical skill set applicable to data analysis in finance.
Personal Interests in Data Modeling
In addition to his professional work, Matthew Clarke engages in developing futures trading models and neural networks during his personal time. This interest reflects his commitment to advancing his skills in data analysis and financial modeling.