FNA
Yijie Zhou's most recent work experience is with FNA, where they hold the position of Data Analyst, Product Associate. They joined the company in April 2021 and their role involves utilizing FNA's platform to assist financial institutions in mapping and monitoring complex financial networks, optimizing liquidity, and simulating operational and financial risks. FNA's clients include major central banks, regulators, financial market infrastructures, and leading financial institutions.
Prior to FNA, Yijie Zhou worked as a Machine Learning Intern at Fugen Sicav from June 2019 to September 2019. They also had an internship in Risk Management at Dongwu Securities Limited Company from July 2018 to August 2018.
In addition, Yijie Zhou has experience working as a Teaching Assistant Tutor at New Oriental Education & Technology Group from January 2017 to March 2017, and as an Assistant Financial Coordinator at Bank Of Ningbo Co., Ltd from July 2016 to August 2016.
Yijie Zhou has a diverse education history that includes a range of degrees and certifications. In 2014, Zhou began their undergraduate studies at Xi'an Jiaotong-Liverpool University, where they obtained a Bachelor of Science degree in Applied Mathematics in 2018.
Following their undergraduate studies, Zhou pursued a Master's degree in Financial Risk Management at UCL from 2018 to 2019. After completing this program, Zhou continued their postgraduate education at the University of Warwick. They first obtained a Master's degree in Msc Mathematics for real world system (leading PhD) from 2019 to 2020.
Currently, Zhou is pursuing a Doctorate Degree in Mathsys at the University of Warwick. Their expected graduation year is 2024.
Furthermore, in December 2018, Zhou also obtained a certification in Bloomberg Market Concepts from Bloomberg LP.
FNA
FNA is a deep technology analytics company that offers financial system services. Its platform allows financial institutions to map and monitor complex financial networks and to simulate operational and financial risks. FNA’s clients include the world’s largest central banks, financial market infrastructures, and leading financial institutions.The company is driven by a mission to make the financial system safer and more efficient and to play a pivotal role in the growing Artificial Intelligence and Machine Learning ecosystem, where FNA's engine powers use cases across a growing number of business domains.FNA was founded in 2013 and is based in London, England.