Shuet Yang Tan
About Shuet Yang Tan
Shuet Yang Tan is a Senior Actuarial Analyst at AXA XL, where he has worked since 2019. He has a background in actuarial roles at Direct Line Group and Aviva, and holds a BSc in Actuarial Science and Risk Management from Queen's University Belfast.
Work at AXA XL
Shuet Yang Tan has been employed at AXA XL, a division of AXA, as a Senior Actuarial Analyst since 2019. In this role, Tan collaborates with business unit actuaries to establish and review models that support decision-making processes. Tan is also involved in the development and production of management information reporting specifically for AXA XL's reinsurance operations. The position emphasizes the importance of data acquisition and exploratory analysis to validate hypotheses concerning reinsurance portfolios.
Previous Experience in Actuarial Roles
Prior to joining AXA XL, Shuet Yang Tan held several positions at Direct Line Group. Tan worked as a Junior Actuarial Analyst for two months in 2016, followed by a role as a Graduate Actuarial Analyst from 2017 to 2018. Additionally, Tan served as an Actuarial Analyst at Direct Line Group from 2018 to 2019 for 11 months. Tan also gained experience as an Actuarial Intern at Aviva from 2015 to 2016, where Tan worked for 11 months in Dublin, Ireland.
Education and Expertise
Shuet Yang Tan earned a Bachelor of Science degree in Actuarial Science and Risk Management from Queen's University Belfast, completing the program from 2013 to 2017. This educational background provided a foundation in actuarial principles and practices. Tan also completed secondary education at Foon Yew High School, achieving the Malaysia Unified Examination Certificate (UEC) from 2007 to 2012.
Technical Skills and Tools
In the role of Senior Actuarial Analyst, Shuet Yang Tan utilizes various technical tools and programming languages for data analysis and model building. Tan employs QlikSense, SQL, Python, R, and VBA to enhance reinsurance portfolio analytics. A key focus of Tan's work includes the visualization of data and effectively communicating results to non-specialists, ensuring that complex information is accessible to a broader audience.