Matthew S.

Matthew S. has a diverse work experience. Matthew worked as a Quantitative Analyst & Developer at Oaktree & Lion, a proprietary trading firm specializing in cryptocurrencies and derivatives. In this role, Matthew built a bot for re-hedging and maintaining a delta neutral book, as well as tools for data analysis, interaction, and visualization to support trading decisions.

Prior to that, Matthew was a Co-Founder of Fabrio Design, where they served as the Founding-CTO and currently remains as a Director. Matthew successfully raised funding at a multi-million valuation for the company.

Matthew also worked as a Researcher at the Imperial College Algorithmic Trading Society in 2020 and as a Formula Student Team Member at Imperial Racing Green from 2017 to 2020. In the latter role, they participated in various projects and completed a third-year project involving the design, production, and testing of an internal combustion engine for a hybrid powertrain.

Overall, Matthew S. has demonstrated expertise in quantitative analysis, software development, entrepreneurship, and engineering throughout their work experience.

Matthew S. completed their Master of Engineering (MEng) degree in Mechanical Engineering from Imperial College London from 2017 to 2021. Prior to that, they attended Queen Mary's Grammar School from 2010 to 2017, although no specific degree or field of study information is provided for this period.

In terms of additional certifications, Matthew obtained the "Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training" from LinkedIn in June 2020. Matthew also earned the "IBM Data Science Professional Certificate," "Machine Learning with Python," and "Python for Data Science and AI" certifications from Coursera, all completed in June 2020. Additionally, Matthew obtained the "Arkwright Engineering Scholar" recognition from Arkwright Engineering Scholarships in September 2015.