Xiao Wang
About Xiao Wang
Xiao Wang is a Trading Analyst with a diverse background in quantitative finance and algorithmic trading. He has held positions at various financial institutions, including Fortress Investment Group and UBS, and has pursued advanced studies in Financial Engineering and Computer Science.
Work at Murex
Xiao Wang has been employed as a Trading Analyst at Murex since 2022. The role is based in the New York City Metropolitan Area. In this position, Wang contributes to trading analysis, utilizing expertise in quantitative methods and algorithmic trading strategies.
Previous Experience in Finance
Prior to joining Murex, Xiao Wang held various positions in the finance sector. Wang worked at Fortress Investment Group as a Quantitative Model Developer from 2020 to 2022 in New York, where the focus was on developing quantitative models. Additionally, Wang served as a Project Candidate for Q-Learning in Algorithmic Trading at UBS for four months in 2019, and as a Financial Analyst at Wilshire Financial Network for three months in 2017.
Educational Background
Xiao Wang has a strong academic background in finance and engineering. Wang studied Financial Actuarial Math, Statistics, and Accounting at the University of California, Los Angeles, earning a degree from 2014 to 2018. Subsequently, Wang completed a Master's degree in Financial Engineering at Cornell University in 2019. Currently, Wang is pursuing a Master's degree in Computer Science at Georgia Institute of Technology, which began in 2021.
Experience in Quantitative Analysis
Xiao Wang has extensive experience in quantitative analysis. Wang worked as a Quantitative Analyst at Citic Group for one month in 2018. Additionally, Wang served as a Machine Learning Product Specialist at Charles River Development for three months in 2019, focusing on integrating machine learning techniques into financial products.