Wusheng Jiang
About Wusheng Jiang
Wusheng Jiang is a Financial Engineer at Thomson Reuters, where he has worked in the Emea Pricing Service since 2016. He holds a Master of Science in Mathematics, Engineering, and Finance from the University of Paris I: Panthéon - Sorbonne and has previous experience in data mining and quantitative research.
Work at Thomson Reuters
Wusheng Jiang has been employed at Thomson Reuters since 2016, serving as a Financial Engineer within the EMEA Pricing Service. His role involves analyzing and developing pricing models that support financial services across the Europe, Middle East, and Africa regions. Based in Toronto, Ontario, Canada, Jiang has accumulated eight years of experience in this position, contributing to the company's financial engineering capabilities.
Education and Expertise
Wusheng Jiang holds a Master of Science degree from the University of Paris I: Panthéon - Sorbonne, where he studied Mathematics, Engineering, and Finance from 2014 to 2015. Prior to this, he earned a Master's degree in Applied Mathematics from Paris-Sud University (Paris XI), completing his studies from 2008 to 2013. His educational background provides a strong foundation in quantitative analysis and financial modeling.
Previous Work Experience
Before joining Thomson Reuters, Wusheng Jiang gained experience in the financial sector through various roles. He worked at Natixis in 2015 as part of the Market and Credit Cross Modelling Team, focusing on Quantitative Research in Interest Rate Modelling for five months. Additionally, he was employed at Servier in 2013 for four months in the R&D Department, where he specialized in Data Mining.
Professional Background
Wusheng Jiang's professional background includes significant experience in financial engineering and quantitative research. His roles have involved developing and implementing pricing models and conducting data analysis to support financial decision-making. His work at Thomson Reuters and previous positions at Natixis and Servier reflect a commitment to applying mathematical and engineering principles in finance.