Phang Beng Zhee

Phang Beng Zhee

Senior Associate @ Temasek

About Phang Beng Zhee

Phang Beng Zhee is a Senior Associate at Temasek with a strong background in the banking industry and expertise in quantitative analysis.

Current Role at Temasek

Phang Beng Zhee is a Senior Associate at Temasek. He brings his extensive experience in quantitative and business analysis to his role, contributing to various projects and initiatives. His background in financial engineering and materials engineering provides a diverse foundation for his work in the financial sector.

Previous Roles in Finance

Before joining Temasek, Phang Beng Zhee worked as a Quantitative Analyst at OCBC Bank from 2015 to 2019. Prior to that, he served as a Business Analyst at J.P. Morgan from 2011 to 2014. Through these roles, he developed a strong background in the banking industry, gaining valuable experience in quantitative analysis and business management.

Educational Background

Phang Beng Zhee earned a Master of Science (MSc) in Financial Engineering from Nanyang Technological University, completing his studies from 2014 to 2015. He also holds a Bachelor of Engineering (BEng) in Materials Engineering from the National University of Singapore, which he achieved between 2006 and 2010. His educational background has equipped him with a solid foundation in both engineering and finance.

Technical Skills and Expertise

Phang Beng Zhee possesses a range of technical skills, including proficiency in Visual Basic, Data Analytics, C++, Stochastic Calculus, and programming languages such as Python and Go. These skills are complemented by his expertise in quantitative analysis, making him a well-rounded professional in the financial sector.

Quantitative Analysis Experience

With a demonstrated history of working in quantitative analysis, Phang Beng Zhee has developed a strong capability in this field. His experience includes roles at OCBC Bank and J.P. Morgan, where he applied his analytical skills to support business decisions and drive financial performance. His in-depth knowledge of data analytics and stochastic processes underpins his expertise in quantitative analysis.

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