Jo Yang
About Jo Yang
Jo Yang is a Manager of Data Science with extensive experience in data analytics and actuarial science. Currently at Pagoda, Yang has held various roles in prominent companies, including Swiss Re and Shopify, and holds degrees from the University of Waterloo and the University of Illinois Urbana-Champaign.
Current Role at Pagoda
Jo Yang currently serves as the Manager of Data Science at Pagoda, a position held since 2023. In this role, Jo champions the evaluation of data tooling and manages vendor relations. Jo also fosters a culture of data literacy and data-driven decision-making across the organization. Additionally, Jo oversees cost reduction and optimization in data operation efficiency and has established stringent data privacy policies and regulatory compliance.
Previous Experience at Swiss Re
Jo Yang has a significant history with Swiss Re, where Jo held multiple roles. Jo began as an Actuarial Intern from 2013 to 2014 for seven months. Jo later worked as an Actuarial Analyst from 2017 to 2019 for two years and as a Senior Data Analyst, Assistant Vice President, from 2020 to 2021 for one year. Jo also served as a Data Analyst from 2019 to 2020 for one year, gaining extensive experience in actuarial science and data analysis.
Education and Expertise
Jo Yang holds a Bachelor of Mathematics in Double Actuarial Science Finance and Statistics Honours, Co-operative Program, with Distinction from the University of Waterloo, completed in 2016. Jo further advanced education by obtaining a Master of Computer Science in Data Science from the University of Illinois Urbana-Champaign in 2022. This educational background supports Jo's expertise in data science and actuarial practices.
Experience at Shopify and Other Companies
Before joining Pagoda, Jo Yang worked at Shopify from 2021 to 2023 in Performance & Analytics for Shop.app and Shop Pay. Jo also completed various actuarial internships, including positions at London Life and John Hancock in 2015, and at Munich Re in 2013. These experiences contributed to Jo's comprehensive understanding of data analytics and actuarial science.