Elvis Lok
About Elvis Lok
Elvis Lok is an Actuarial Analyst at Data Science Lab, currently working at Intact since 2022. He has previous experience as an actuarial intern at SCOR and AIA Hong Kong and Macau, and has a Bachelor of Business Administration from The Chinese University of Hong Kong.
Work at Intact Financial Corporation
Elvis Lok has been employed as an Actuarial Analyst at Intact Financial Corporation's Data Science Lab since 2022. In this role, he focuses on enhancing the segmentation capabilities of insurance pricing models. His work includes conducting in-depth exploration of external data sources to improve model accuracy and effectiveness. This position allows him to apply his actuarial skills in a practical setting, contributing to the company's data-driven decision-making processes.
Previous Experience in Actuarial Roles
Prior to his current role, Elvis Lok gained valuable experience as an Actuarial Intern at SCOR in 2020, where he worked for three months in Hong Kong SAR. He also interned at AIA Hong Kong and Macau for six months in the same year. Additionally, he served as a Mathematics Assistant Tutor at Diocesan Boys' School in 2018 for five months. These positions provided him with a solid foundation in actuarial practices and mathematical analysis.
Education and Expertise
Elvis Lok earned a Bachelor of Business Administration (BBA) degree in Insurance, Financial and Actuarial Analysis from The Chinese University of Hong Kong. His studies spanned from 2017 to 2021, equipping him with essential knowledge and skills in actuarial science and financial analysis. He also completed his secondary education at Diocesan Boys' School from 2011 to 2017, where he developed a strong foundation in mathematics.
Key Projects and Contributions
During his tenure at Intact Financial Corporation, Elvis Lok has contributed to significant projects, including the automation of the quotation process. He streamlined and standardized the computation of existing pricing variables, which improved efficiency within the pricing model. Additionally, he has worked on enhancing the segmentation power of an XGBOOST insurance pricing model through the exploration of external data sources.