Tiger Qi Shen
About Tiger Qi Shen
Tiger Qi Shen is a Small Business Analytics Actuary with extensive experience in the insurance industry, currently working at The Cincinnati Insurance Companies since 2020. He holds advanced degrees in Applied Statistics and has previously held various actuarial roles at Nationwide Insurance and Grange Insurance.
Work at The Cincinnati Insurance Companies
Tiger Qi Shen has been employed at The Cincinnati Insurance Companies as a Small Business Analytics Actuary since 2020. In this role, he focuses on analyzing data to support small business initiatives and improve decision-making processes. His work contributes to the company's efforts in providing tailored insurance solutions for small businesses in the Columbus, Ohio Metropolitan Area.
Previous Experience at Nationwide Insurance
Prior to his current position, Tiger Qi Shen worked at Nationwide Insurance in various actuarial roles. He served as a Commercial Line Actuary for one year from 2019 to 2020. His tenure at Nationwide also included positions as a Senior Pricing Analyst from 2003 to 2006, a Consultant in Reinsurance/Risk Management from 2006 to 2010, a Pricing Manager from 2013 to 2017, and a Predictive Modeling Manager from 2017 to 2019. These roles provided him with extensive experience in pricing strategies and risk management.
Educational Background
Tiger Qi Shen has a strong academic background in statistics and actuarial science. He studied at Nanjing University, where he earned both a Bachelor of Science (B.S.) and a Master of Science (M.S.). He furthered his education at Bowling Green State University, achieving a Master’s degree in Applied Statistics. Additionally, he is a PhD candidate at Lehigh University, indicating a commitment to advanced studies in his field.
Actuarial Expertise and Skills
With a career spanning over 15 years in the actuarial field, Tiger Qi Shen possesses expertise in various areas including pricing analysis, predictive modeling, and risk management. His roles have equipped him with skills in data analysis and statistical modeling, which are essential for making informed business decisions in the insurance industry.