Wai Yin Zorrow Lo

Data Engineer/data Scientist at Royal London Asset Management

Wai Yin Zorrow Lo is a skilled Data Engineer and Data Scientist currently employed at Royal London Asset Management since January 2022, focusing on designing ETL procedures and maintaining data quality for Transaction Cost Analysis. Previously, Zorrow Lo worked as a Data Analyst at HSBC, modernizing mainframe data processes and developing text mining tools, and served as a Front Office Data Analyst at BNP Paribas, where responsibilities included data analysis and machine learning modeling for structured product trading. Earlier roles included an Assistant Business Analyst at HKT Teleservices, analyzing business performance and sales metrics, and a Research Assistant at City University of Hong Kong, specializing in data mapping and financial analysis. Zorrow Lo holds a Master of Science in Economics from The Chinese University of Hong Kong and a Bachelor of Science in Computational and Applied Mathematics from City University of Hong Kong.

Location

Walton-on-Thames, United Kingdom

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Royal London Asset Management

Content suitable for investment professionals only. Royal London Asset Management is a wholly-owned subsidiary of Royal London, the UK’s largest mutual life and pensions company. Royal London Asset Management is one of the UK’s leading fund management companies, offering a range of pooled investment products as well as providing bespoke solutions to meet specific objectives. Royal London Asset Management was established in 1988 and specialises in providing investment management services for both the Royal London Group and a wide range of external institutions. Clients include listed companies, local authorities, universities, charities, wealth managers, financial advisers and multi-managers. Royal London Asset Management manages £150.8 billion of assets across all major asset classes (as at 31 March 2023, subject to rounding). For more information about our products and services, visit our website at www.rlam.com. You can also follow us on Twitter at @RLAM_UK. For information about current vacancies, please see www.rlam.com/uk/careers


Employees

201-500

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