Juntao Zhang
About Juntao Zhang
Juntao Zhang is an Actuarial Analyst II at TD Insurance, with a background in actuarial science, economics, and statistics. He has held various analytical roles in companies such as HSBC, Economical Insurance, and PING AN INSURANCE, and has contributed to significant improvements in data processes and risk management methodologies.
Current Role at TD Insurance
Juntao Zhang currently serves as an Actuarial Analyst II at TD Insurance in Toronto, Ontario, Canada. He has held this position since 2020, contributing to various actuarial projects and analyses. His responsibilities include risk assessment and management, utilizing advanced statistical methods and software tools to support the company's objectives.
Previous Experience in Actuarial Roles
Prior to his current role, Juntao Zhang worked at Economical Insurance as an Intermediate Actuarial Analyst from 2019 to 2020. He also held the position of Actuarial Analyst at Economical Insurance from 2017 to 2019. His experience includes working as an Actuarial Analyst at PING AN INSURANCE (GROUP) COMPANY OF CHINA, LTD in 2014 and as a Business Analyst at FinUp in 2017.
Education and Academic Background
Juntao Zhang holds a Bachelor’s Degree in Economics and a Minor in Mathematics from the University of Illinois at Urbana-Champaign, where he studied from 2012 to 2015. He furthered his education by obtaining a Master’s Degree in Actuarial Science from the University of Waterloo from 2016 to 2017.
Technical Skills and Contributions
Juntao Zhang has demonstrated technical proficiency in actuarial analysis and programming. He has revamped various templates for reserve risk management, including the Coefficient of Variation template and the Loss Cost Analysis template. He has also migrated SAS code to R, improved data importing processes, and implemented parallel computing to enhance model efficiency.
Projects and Methodologies
Throughout his career, Juntao Zhang has been involved in significant projects such as building DFM and stochastic methods in ResQ, producing stochastic simulations for the Igloo reserve risk model, and improving the monthly payment pattern process. His work has focused on integrating advanced analytical techniques to support premium risk management and enhance data consistency.