Mingyuan Gao
About Mingyuan Gao
Mingyuan Gao is a Risk Analyst currently employed at Transamerica Life Insurance Company in Cedar Rapids, Iowa, where he has worked since 2017. He has a background in Risk Management and Insurance, holding a Bachelor of Arts from the University of International Business and Economics and a Master of Science in Industrial Mathematics from the University of Northern Iowa.
Work at Transamerica
Mingyuan Gao has been employed at Transamerica Life Insurance Company as a Risk Analyst since 2017. In this role, Gao is responsible for assessing and managing risks associated with insurance products and services. The position is based in the Cedar Rapids, Iowa Area, where Gao applies expertise in risk management to support the company's objectives.
Previous Experience in Risk Management
Before joining Transamerica, Mingyuan Gao worked at PING AN INSURANCE (GROUP) COMPANY OF CHINA, LTD as an Operations Manager for six months in 2014. This role involved overseeing operational processes and contributing to risk assessment strategies. Additionally, Gao served as a Marketing Administrator at Beijing Easyhome Investment Holding Group Co., Ltd from 2012 to 2013, where responsibilities included marketing strategy development.
Education and Expertise
Mingyuan Gao holds a Bachelor of Arts (B.A.) in Risk Management and Insurance from the University of International Business and Economics, completed in 2012. Gao further advanced education by obtaining a Master of Science (M.S.) in Industrial Mathematics with a focus on Actuarial Science from the University of Northern Iowa in 2017. This educational background provides a strong foundation in risk analysis and management.
Internship Experience
Prior to formal employment, Mingyuan Gao gained practical experience as a Data Analyst Intern at Nielsen Marketing ROI from 2011 to 2012. This internship lasted for six months and took place in Beijing City, China. During this time, Gao developed skills in data analysis, which are applicable to the current role in risk analysis.