Khrystyna Zhdan
About Khrystyna Zhdan
Khrystyna Zhdan is a Senior Actuarial Analyst specializing in Data Science at Intactlab in Toronto, Ontario. She holds a Bachelor of Arts in Mathematics for Commerce from York University and has extensive experience in actuarial analysis across various companies.
Work at Intact Financial Corporation
Khrystyna Zhdan currently holds the position of Senior Actuarial Analyst in the Data Science department at Intactlab. She has been with Intact since 2021, contributing her expertise in actuarial analysis and data science. Previously, she worked as an Actuarial Analyst in the same department from 2019 to 2021. Her role involves applying statistical methods and data analysis techniques to support decision-making processes within the organization.
Education and Expertise
Khrystyna Zhdan earned a Bachelor of Arts (BA) with Specialized Honours in Mathematics for Commerce, focusing on the Actuarial Stream, from York University. She completed her degree between 2010 and 2014. Her educational background provides a strong foundation in mathematical principles and their applications in commerce, particularly in actuarial science.
Previous Work Experience
Before joining Intact, Khrystyna Zhdan gained valuable experience in the actuarial field through various roles. She worked at Mercer as a Senior Actuarial Analyst from 2017 to 2018. Following that, she served as an Actuarial Analyst for Large Accounts Pricing at Aviva Canada from 2018 to 2019. Earlier in her career, she was a Statistical Data Analyst at TierOne OSS Technologies Inc, where she worked with Rogers Communications from 2015 to 2017.
Career Progression
Khrystyna Zhdan's career progression reflects a steady advancement in the actuarial field. After starting as a Statistical Data Analyst, she transitioned to actuarial roles, gaining experience at notable companies such as Mercer and Aviva Canada. Her current position at Intactlab as a Senior Actuarial Analyst demonstrates her growth and expertise in data science and actuarial analysis.