Anthony Ng

Anthony Ng

Data Scientist @ Legal & General

About Anthony Ng

Anthony Ng is a Data Scientist at Legal & General in London, England, where he has worked since 2021. He holds a Master of Science in Operations Research & Analytics from The London School of Economics and Political Science and has a background in actuarial science.

Work at Legal & General

Anthony Ng has been employed at Legal & General as a Data Scientist since 2021. In this role, he applies his expertise in data analysis to support various projects and initiatives within the company. Prior to this position, he worked as a Summer Project Analyst at Legal & General for three months in 2021. His tenure at the company reflects his commitment to leveraging data for informed decision-making in the financial services sector.

Education and Expertise

Anthony Ng holds a Master of Science in Operations Research & Analytics from The London School of Economics and Political Science (LSE), where he studied from 2020 to 2021. He also earned a Bachelor of Science in Actuarial Science from LSE, completing his degree from 2011 to 2014. His educational background equips him with a strong foundation in both actuarial science and operations research, enhancing his capabilities in data-driven decision-making.

Background

Before joining Legal & General, Anthony Ng worked as a Senior Actuarial Associate at AIA in Hong Kong from 2014 to 2018. This experience contributed to his understanding of the life insurance industry and the application of quantitative analysis in driving strategic initiatives. Additionally, he completed his A Levels at Bromsgrove School, achieving 4A* in Mathematics, Further Mathematics, Physics, and Chemistry.

Skills and Experience

Anthony Ng possesses skills in effectively communicating analytical results to influence strategic decisions. His experience spans various industries, including airline loyalty and life insurance, where he has driven changes through quantitative analysis. This blend of skills and experience positions him as a valuable asset in the field of data science.

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