Biography
Yoshimasa Satoh, CFA, is head of Business Operations at IG Securities Limited in Japan. He supports the head of Japan at IG Group and the representative director and CEO at IG Securities with the development and implementation of initiatives to improve business performances. He deputizes for the CEO, head of Japan as and when needed. Satoh sat on the board of CFA Society Japan from October 2018 to October 2022 and played a role as secretary officer during his tenure. He has overseen global multi-asset portfolio management, trading, and research and development of technology and data science solutions throughout his career. Previously, Satoh served as a portfolio manager of Quantitative Investment Strategies at Goldman Sachs Asset Management. He also worked for Bloomberg and Nasdaq, respectively, and assumed an Asia Pacific client coverage role. He started his career at Nomura Research Institute, where he led Nomura Securities’ equity trading and portfolio management technology teams. Satoh earned the CFA Institute Certificate in ESG Investing and holds a bachelor’s degree and a master’s degree in engineering from the University of Tsukuba.
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
No matter how sophisticated and expensive a firm's AI tools are, it should not forget that the principle “garbage in, garbage out” (GIGO) applies to the entire investment management process.
How will all the ChatGPT- and LLM-related developments affect how investment professionals work?
Should we be worried about the jobs that might be lost to machines?
How can you determine what machine learning approach to apply?
When it comes to big data and artificial intelligence (AI) in the investment management industry, some people anticipate a rosy future with various new sources of alpha. Others worry about the jobs that might be lost to machines through process automation.