Carol Luk

Carol Luk has a diverse work experience in various roles. Carol started their career at Carnegie Mellon University as a Research Assistant, focusing on a project related to data privacy. Carol then worked as a Teaching Assistant at Trinity University.

In 2015, Carol joined S&P Global as a Business Intelligence Analyst, where they developed reporting dashboards and conducted data modeling for cross-functional use cases. Carol also provided technical support for predictive analytics software.

Since 2016, Carol has been working at Tradeweb. Carol began as an AVP Data Strategist, collaborating with different teams to create automated data analysis tools for the US Credit Platform. Carol utilized Python and SQL to develop algorithm prototypes and integrated data between databases. Carol also managed the implementation of pricing models into production technology.

Currently, Carol holds the position of Director Product Manager at Tradeweb. Carol'sresponsibilities involve managing the end-to-end product development of proprietary real-time pricing algorithm Ai-Price and transaction cost analysis product TCA. Carol works closely with various teams, including developers, QA, and Marketing, to ensure successful product launches.

Carol Luk has a Master of Science (MS) degree in Information Systems and Management from Carnegie Mellon University. Carol also holds a Bachelor of Science (BS) degree in Business Administration and Management with a concentration in Finance, as well as a Bachelor of Arts (BA) degree in Economics, both from Trinity University. Additionally, they have obtained certifications in Series 63 and Series 7 from FINRA (Financial Industry Regulatory Authority).