Byung-Geun Choi is a seasoned professional with a robust background in quantitative analytics, machine learning, and big data analytics. His career showcases a deep expertise in developing and implementing advanced financial strategies, underpinned by cutting-edge technologies and data-driven methodologies.

As the Head of Product Strategy at Korea Investment Management, Byung-Geun leads efforts in establishing innovative ETF product strategies, conducting thorough market and competitor analysis, and overseeing the development of an AI-based ETF market analysis platform. Prior to this, Byung-Geun served as the Head of the Global Equity Team at NH-Amundi Asset Management, where he was responsible for launching a pioneering Generative AI Active ETF. His leadership was instrumental in developing a novel alpha strategy that combined natural language processing (NLP) for investor behavior analysis with price momentum, showcasing his ability to leverage machine learning to enhance portfolio performance.

At Samsung Asset Management, Byung-Geun managed the Active Quant Fund, which had an AUM of $140 million. His technical proficiency in programming languages such as Python, R, and MSSQL allowed him to integrate deep learning and data-driven pair trading strategies, applying them to individual stocks within the KOSPI and KOSDAQ indices. His contributions in this role underscored his capability in both quantitative analysis and fund management.

Byung-Geun’s expertise extends beyond asset management into risk analysis and credit modeling, as evidenced by his tenure at the Risk Management Institute (NUS) in Singapore. There, he engineered a bottom-up credit risk prediction model that analyzed default correlations across sectors and contributed to the development of credit stress testing tools for clients such as the IMF and World Bank.

His academic foundation is equally impressive. Byung-Geun completed PhD coursework in Industrial & Operations Engineering at the University of Michigan, supported by the Rackham Doctoral Fellowship. He also holds a Master’s degree in Management, Technology, and Entrepreneurship from École Polytechnique Fédérale de Lausanne, with a focus on machine learning and data mining. He earned a Bachelor’s degree in Electrical and Computer Engineering from Seoul National University, where he was awarded a full scholarship from the Korean Ministry of Science and Technology.