Ryan Kow
About Ryan Kow
Ryan Kow is the Associate Director at Temasek in Singapore, with a decade of experience in the banking industry focusing on automation and regulatory compliance.
Current Role at Temasek
Ryan Kow is currently serving as Associate Director at Temasek in Singapore. In this role, he is responsible for various strategic tasks within the company. His experience and expertise in automation and regulatory compliance play a pivotal role in his current position.
Previous Experience at Hong Leong Finance
Ryan Kow worked at Hong Leong Finance as Assistant Treasury Manager in Singapore from 2019 to 2020 for 1 year. During his tenure, he contributed to the financial management strategies and treasury operations within the institution.
Fixed Income Trading Specialization
Ryan Kow specialized in Fixed Income for the past 6 years, enjoying the complexities involved with bond math and employing strategies such as the barbell strategy. His role as a Fixed Income Trader at Propex Derivatives from 2014 to 2018 provided significant expertise in this domain.
Educational Background and Degrees
Ryan Kow holds a Master's degree in Applied Finance from Singapore Management University, where he was listed on the Dean’s List, achieving this in a span of 1 year from 2018 to 2019. He also earned a Bachelor’s Degree in Mechanical Engineering from Nanyang Technological University, where he studied from 2006 to 2010.
Professional Journey Across Various Companies
Over the years, Ryan Kow has accumulated substantial experience by working at multiple prestigious organizations. His career includes roles such as Associate at Standard Chartered Bank in Singapore from 2018 to 2019, Fixed Income Trader at Propex Derivatives in Singapore from 2014 to 2018, and Associate at Credit Suisse in Hong Kong from 2010 to 2014.
Proficiency in Data Analytics and Python
Currently, Ryan Kow is learning Python to enhance his skills in data analytics, aiming to improve forecasting models within Asset Liability Management. His focus on leveraging data-driven techniques aims to drive more accurate and efficient financial strategies.