Tom Schiffer
About Tom Schiffer
Tom Schiffer is an Actuarial Analyst at Transamerica, where he has worked since 2020. He has a background in Actuarial Science and Mathematics from Wartburg College and has experience in model development and data automation.
Work at Transamerica
Tom Schiffer has been employed at Transamerica since 2018, initially as an Actuarial Student and later as an Actuarial Analyst. He has accumulated a total of six years of experience at the company, with four years specifically in the role of Actuarial Analyst. His work is based in Cedar Rapids, Iowa, where he contributes to the Model Development team as part of Transamerica's modernization efforts. His responsibilities include building automated processes to manage large data transfers and interpreting rates and values from various modeling software.
Education and Expertise
Tom Schiffer earned a Bachelor's degree in Actuarial Science and Mathematics from Wartburg College, completing his studies from 2014 to 2018. His educational background provides a solid foundation for his work in actuarial analysis. He has developed expertise in using modeling software such as MoSes, PolySystems, CyberLife, and GGY Axis, which are essential for his role in data interpretation and valuation modeling.
Background
Before joining Transamerica, Tom Schiffer gained experience as an Actuarial Intern at Sammons Financial Group Member Companies in 2016 for three months. He also completed a three-month internship at Transamerica in 2017. These positions allowed him to develop practical skills in the actuarial field and gain insights into the industry, which he has applied in his current roles.
Achievements
In his current position at Transamerica, Tom Schiffer has made significant contributions to the Model Development team. He has been involved in the modernization efforts of the company, focusing on enhancing data processes and improving valuation models. His work includes the automation of data transfers, which streamlines operations and supports the overall efficiency of the actuarial functions.