Bin Shi
About Bin Shi
Bin Shi is a Risk Analyst with extensive experience in the actuarial field, currently employed at Transamerica since 2018. He has previously held internships at Infosys McCamish Systems and Optimum Re Insurance Company, and has a strong academic background with degrees from Zhejiang University and Georgia State University.
Work at Transamerica
Bin Shi has been employed at Transamerica since 2018, serving as a Risk Analyst. In this role, Shi is responsible for assessing and managing risks associated with the company's financial products and services. The position requires a strong understanding of actuarial principles and risk management strategies. Shi's contributions to the team focus on enhancing the company's risk assessment processes and ensuring compliance with industry regulations.
Previous Experience in Actuarial Internships
Before joining Transamerica, Bin Shi gained valuable experience through actuarial internships. In 2017, Shi worked at Infosys McCamish Systems for four months in the Greater Atlanta Area, where responsibilities included supporting actuarial analyses and data management. Additionally, Shi completed a one-month internship at Optimum Re Insurance Company in the Dallas/Fort Worth Area during the same year, further developing skills in risk assessment and actuarial methodologies.
Education and Expertise
Bin Shi holds a Master of Actuarial Science and Mathematical Risk Management from Georgia State University - J. Mack Robinson College of Business. This advanced education has equipped Shi with a comprehensive understanding of actuarial science, risk management, and quantitative analysis. Shi also studied at the University of Alberta and earned a Bachelor's degree from Zhejiang University, contributing to a strong academic foundation in mathematics and risk assessment.
Research Experience at Georgia State University
From 2015 to 2017, Bin Shi worked as a Graduate Research Assistant at Georgia State University. In this role, Shi assisted in various research projects related to actuarial science and risk management. The position involved data analysis, literature reviews, and contributing to academic publications, which enhanced Shi's analytical skills and understanding of complex risk models.