Kuan Huang
About Kuan Huang
Kuan Huang is a Sales Graduate with a background in International Business from Guangdong University of Foreign Studies and a Master's degree from Humboldt University of Berlin. He has worked at Thomson Reuters in Toronto since 2017, specializing in optimizing content delivery for financial institutions.
Work at Thomson Reuters
Kuan Huang has been employed at Thomson Reuters as a Sales Graduate since 2017. Based in Toronto, Ontario, Canada, Huang focuses on optimizing content delivery and reducing the total cost of ownership for financial institutions. This role involves working with the Thomson Reuters Enterprise Platform to enhance operational efficiency for clients. Huang's responsibilities include providing real-time feeds and reference data, as well as delivering evaluated pricing data, which encompasses intraday, validated end-of-day, and historical pricing.
Education and Expertise
Kuan Huang holds a Bachelor's degree in International Business from Guangdong University of Foreign Studies. Huang furthered academic pursuits by obtaining a Master's degree from Humboldt University of Berlin. This educational background supports Huang's expertise in the financial services sector, particularly in areas such as deep analytics and corporate actions.
Background
Kuan Huang's professional journey began after completing a Bachelor's degree in International Business. The transition to a Master's program at Humboldt University of Berlin provided a foundation for a career in the financial sector. Since joining Thomson Reuters in 2017, Huang has developed a specialization in content delivery optimization and cost management for financial institutions.
Achievements
During the tenure at Thomson Reuters, Kuan Huang has contributed to enhancing operational efficiency for clients through the Thomson Reuters Enterprise Platform. Huang's work includes providing essential real-time feeds and reference data, which are crucial for financial institutions. Additionally, Huang has experience in delivering evaluated pricing data, which includes intraday, validated end-of-day, and historical pricing, thereby supporting informed decision-making within the financial services sector.