Quentin Herrmann
About Quentin Herrmann
Quentin Herrmann is a Quant Associate currently working at TradingHub in London, England. He has a diverse background in finance, having held various roles at prominent firms such as Deutsche Asset Management and Candriam, and holds multiple master's degrees in Finance and Data Science.
Current Role at TradingHub
Quentin Herrmann serves as a Quant Associate at TradingHub, a position he has held since 2020. In this role, he applies quantitative analysis and data-driven strategies to enhance trading operations. His expertise in quantitative finance supports the development of innovative trading solutions and contributes to the overall efficiency of TradingHub's services.
Previous Experience in Finance
Prior to his current role, Quentin Herrmann accumulated extensive experience in the finance sector. He worked as a Junior Portfolio Manager at Deutsche Asset Management from 2017 to 2019, where he managed investment portfolios. He also held a position as a Quant Global Macro Intern at Candriam for seven months in 2017, focusing on macroeconomic analysis. Additionally, he served as a Commodity Derivatives Risk Intern at Societe Generale Corporate and Investment Banking from 2016 to 2017, and as an ETF Sales Assistant at Lyxor Asset Management in 2015.
Educational Background in Finance and Data Science
Quentin Herrmann has a strong educational foundation in finance and data science. He earned a Master’s degree in Finance from Singapore Management University. He also studied at Reims Management School, where he achieved another Master’s degree in Finance. Furthering his education, he completed a Master of Science in Data Science at UCL in 2020. His academic background equips him with the analytical skills necessary for his roles in quantitative finance.
Early Education and Academic Achievements
Quentin Herrmann's early education includes a Baccalaureate in Mathematics, Physics, Biology, History, and Philosophy from Institution Frémont, completed between 2008 and 2011. He then attended Lycée Malherbe for two years, where he focused on Mathematics, Geopolitics, and Philosophy in a Classe Préparatoire. This foundational education laid the groundwork for his advanced studies in finance and data science.