Biography
Yoshimasa Satoh, CFA, is representative director and CEO of Alpaca Japan, leading Alpaca’s licensed securities entity in Japan. Alpaca is a global leader in brokerage infrastructure, and its mission is to open financial services to everyone on the planet. Alpaca’s scalable APIs and self-clearing custody enable global access to stocks, ETFs, options, crypto, and fixed income products. Today, Alpaca has partnered with over 300 organizations in more than 40 countries, supporting millions of brokerage accounts at leading financial institutions and fintechs. 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 trading, portfolio management, research and development of technology and data science solutions, business development, and client-facing teams throughout his career. Previously, Satoh was chief operating officer, executive officer at IG Securities Limited. He supported the head of Japan at IG Group / representative director and CEO at IG Securities with the development and implementation of initiatives to improve business performances. He deputized for the CEO, head of Japan as and when needed. Satoh also worked for Bloomberg and Nasdaq, respectively, and assumed an Asia Pacific client coverage role. He served as a portfolio manager of Quantitative Investment Strategies at Goldman Sachs Asset Management. 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.