Tony Tang
About Tony Tang
Tony Tang is a Quantitative Trader at OANDA, where he has worked since 2022, following four years as a Trader at the same company. He holds a Master's Degree in Econometrics and Quantitative Economics from the University of Victoria and has extensive experience in financial analysis and trading.
Work at OANDA
Tony Tang has been employed at OANDA since 2018, initially serving as a Trader for four years until 2022. He currently holds the position of Quantitative Trader, a role he has occupied for two years. His responsibilities include managing the market-making and hedging engine of OANDA’s trading platform, where he intervenes in the trading algorithm as needed. He has also created visualization tools using Python to optimize pricing and hedging strategies.
Education and Expertise
Tony Tang earned a Master’s Degree in Econometrics and Quantitative Economics from the University of Victoria, where he studied from 2013 to 2015. He also holds a Bachelor’s Degree in Economics and Finance from the same institution, completed between 2011 and 2013. Additionally, he participated in a dual degree program at Yunnan University, obtaining a Bachelor's Degree in Economics from 2009 to 2011. He has further enhanced his skills by achieving a Professional Certificate through Coursera.
Background in Financial Analysis
Before his tenure at OANDA, Tony Tang worked at Manulife as an Analyst in Global Asset Liability Management for ten months in 2018. He also served as an Analyst/Trader in Treasury at Mizuho from 2016 to 2017. His early career included an internship in International Banking at China Construction Bank in 2012 and a co-op position as an Economic Research Analyst at BC Public Service in 2015.
Technical Skills and Projects
Tony Tang has developed and deployed various Python scripts for multiple analytical purposes, including exposure PnL analysis, hedging slippage, market liquidity assessment, and pricing latency evaluation. He has utilized various technologies such as SQL Server, AWS, Google Cloud Platform, and Bloomberg data license to support his work. His projects include automation of trading desk reports and quantitative modeling, showcasing his proficiency in large data analysis and machine learning.
Teaching Experience
Tony Tang has experience in academia, having worked as a Lab Instructor for Statistical Inference at the University of Victoria from 2013 to 2014. This role involved teaching and guiding students in statistical methods, contributing to his comprehensive understanding of quantitative analysis.