Kevin Chen
About Kevin Chen
Kevin Chen serves as the Global Head of Data and Analytics Platform at Thomson Reuters, where he leads the development of integrated data solutions. He has a strong background in electrical engineering and computer science, and has successfully managed large teams to deliver analytics services across various domains.
Work at Thomson Reuters
Kevin Chen serves as the Global Head of Data and Analytics Platform at Thomson Reuters, a position he has held since 2012. In this role, he oversees the strategic development of a comprehensive Data & Analytics Platform that integrates Big Data, cloud computing, and artificial intelligence. His leadership has contributed to significant cost savings and enhanced operational efficiency. Chen manages a global team of 1,200 technologists, delivering data and analytics solutions for a $6 billion business. He has played a crucial role in making the flagship product Eikon profitable by replacing numerous siloed systems and handling complex data sets from tens of thousands of sources.
Education and Expertise
Kevin Chen holds a Master of Science in Electrical Engineering and Computer Science from Case Western Reserve University, where he studied from 1999 to 2003. He also earned a Bachelor of Science in Precision Instruments and Computerized Control from Tsinghua University, completing his studies there from 1994 to 1999. His educational background provides a strong foundation in technology and analytics, enabling him to lead innovative projects in data management and analytics.
Background
Before joining Thomson Reuters, Kevin Chen worked as the Chief Technology Officer at Genesis Securities from 2003 to 2007. His experience in this role contributed to his expertise in technology leadership and strategic development in the financial sector. Chen's career trajectory reflects a consistent focus on data and analytics, positioning him as a leader in the industry.
Achievements
Kevin Chen has led the delivery of a comprehensive range of analytics services at Thomson Reuters, including quantitative, portfolio, predictive, real-time, and textual analytics utilizing natural language processing (NLP). His efforts have significantly enhanced the data capabilities of the organization, serving 3,500 internal specialists and numerous clients. His strategic initiatives have resulted in the successful integration of advanced technologies within the company's analytics framework.