Sandy Sze Lam Lam
About Sandy Sze Lam Lam
Sandy Sze Lam Lam serves as the Assistant Data Management and Governance Manager at HSBC, specializing in data governance within the insurance sector. She holds a Master of Science in Risk Management Science from The Chinese University of Hong Kong and has a strong background in data science and analytics.
Current Role at HSBC
Sandy Sze Lam Lam currently serves as the Assistant Data Management and Governance Manager within the Chief Data Office (CDO) for the COO of Hong Kong Insurance. In this role, she has been responsible for overseeing data management projects that align with CDO initiatives. Her tenure at HSBC began in 2020, and she has accumulated four years of experience in this position, contributing to the organization's data governance strategies.
Previous Experience at HSBC
Prior to her current role, Sandy worked at HSBC in various capacities. She served as an Assistant Manager in Data and Information Management for the Asia Pacific region from 2017 to 2019. Before that, she held the position of Analyst in the same department from 2016 to 2017. Her experiences at HSBC have provided her with a strong foundation in data management and analytics.
Education and Expertise
Sandy holds a Master of Science (MSc) in Risk Management Science from The Chinese University of Hong Kong, which she completed from 2017 to 2019. She also studied at The London School of Economics and Political Science (LSE), where she achieved a certification in Big Data: Data Analytics for Business and Beyond in 2015. Additionally, she earned a Bachelor of Business Administration (Hons) with a major in Business Analysis and a minor in Finance from City University of Hong Kong from 2012 to 2016. Her educational background supports her expertise in data governance and analytics.
Experience at TransUnion
Sandy worked at TransUnion as an Analyst in Data Science & Analytics within the Financial Services sector from 2019 to 2020. During her nine-month tenure, she focused on applying data science techniques to enhance data-driven decision-making processes in financial services.