Noah Yewman
About Noah Yewman
Noah Yewman is a Software Engineer based in London, England, with a background in Mechanical Engineering and Computer Science from the University of Exeter. He has experience in enhancing trading algorithms and optimizing financial data analysis processes at UBS.
Work at UBS
Noah Yewman has been employed at UBS as a Software Engineer since 2021. In this role, he has participated in various software development projects aimed at enhancing trading algorithms for global markets. He has contributed to a team that developed a tool for optimizing financial data analysis processes. Additionally, he engaged in a collaborative project that involved integrating machine learning techniques into existing software systems. Yewman also attended a professional development workshop on financial technologies, furthering his knowledge and skills in the financial sector.
Education and Expertise
Noah Yewman holds a Bachelor of Engineering (BE) in Mechanical Engineering from the University of Exeter, where he studied from 2017 to 2020. He furthered his education by obtaining a Master of Science (MS) in Computer Science from the same institution, completing his studies in 2021. His academic background provides him with a strong foundation in both engineering and computer science, equipping him with the skills necessary for his current role in software engineering.
Background
Noah Yewman completed his secondary education at Colchester Royal Grammar School, where he studied from 2009 to 2016. Following his schooling, he worked as a Recreation Assistant at the University of Exeter Sports Park for seven months in 2019 to 2020. He also gained experience as an intern at Estates and Infrastructure Exchange Ltd for one month in 2019 in London. His diverse background in both education and early career roles has contributed to his development as a software engineer.
Achievements
During his Master's program at the University of Exeter, Noah Yewman completed a thesis focused on a topic related to advanced computer science. His academic and professional experiences have led to significant contributions in his current role at UBS, including projects that enhance trading algorithms and optimize financial data analysis. His involvement in integrating machine learning techniques into software systems demonstrates his commitment to advancing technology in the financial sector.