Chaoyang Ma

Chaoyang Ma

Director/Fx Algo Trading Quant @ UBS

About Chaoyang Ma

Chaoyang Ma is a Director and FX Algo Trading Quant at UBS, with extensive experience in quantitative finance and data analytics. He has held positions at several major financial institutions and has a strong academic background in engineering and data mining.

Current Role at UBS

Chaoyang Ma serves as the Director of FX Algo Trading Quant at UBS, a position he has held since 2018. In this role, he focuses on developing and implementing algorithmic trading strategies in the foreign exchange market. His expertise in data visualization and analytics plays a critical role in interpreting large datasets, which is essential for effective trading decisions.

Previous Experience in Financial Institutions

Prior to his current role, Chaoyang Ma held several positions in prominent financial institutions. He worked as a VP/FX Option Trading Quant at Deutsche Bank for eight months in 2017-2018. Before that, he was an FX Quant Developer at the Royal Bank of Scotland from 2011 to 2015. He also served as an Equity Research Data Scientist at Citi from 2015 to 2017, contributing to data-driven decision-making in equity markets.

Educational Background

Chaoyang Ma has a strong academic background in engineering and data science. He earned a Bachelor of Engineering with Honors in Process Control Engineering from Zhejiang University from 2000 to 2004. He then pursued a Master of Engineering in Data Mining in Process Control at the same institution from 2004 to 2006. Subsequently, he completed a PhD in Process Engineering at the University of Leeds from 2006 to 2010.

Technical Skills and Specializations

Chaoyang Ma specializes in several technical areas pertinent to algorithmic trading. He possesses advanced programming skills in languages such as Java, MATLAB, Python, R, and KDB/Q, which are vital for developing complex trading algorithms. His expertise in partial differential equation (PDE) modeling and a solid foundation in probability theory and statistics enhance his capabilities in financial modeling and risk assessment.

Early Career and Research Experience

Chaoyang Ma began his career with research roles before transitioning into finance. He worked as a Research Associate at GSK for three months in 2009-2010 and held a postdoctoral position at Leeds University from 2009 to 2011. Additionally, he started his professional journey as a Modelling Scientist at Procter & Gamble for seven months in 2011 in Newcastle upon Tyne, United Kingdom.

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