Phillip J. Kim

Phillip Kim is a Data Scientist on the Data Science Team at the Federal Deposit Insurance Corporation (FDIC), where he has been employed since May 2020. His role focuses on building artificial intelligence (AI) and machine learning (ML) models to enhance the supervisory processes within the organization.12

Professional Background

• Current Position: Data Scientist, FDIC
• Location: New York, New York
• Experience: Prior to his current role, Kim worked as an emerging markets fixed income professional, where he was involved in trading and risk management across various financial instruments, including foreign exchange and structured credit. His expertise includes analyzing global macro trends and implementing proprietary trading systems.12

Education

Phillip Kim holds multiple degrees:

• Bachelor of Science in Electrical Engineering & Computer Science and Bachelor of Arts in Economics from the University of California, Berkeley (1991-1995).
• Master of Business Administration (MBA) in Finance from Columbia Business School (2001-2003).
• Currently pursuing a Master of Science in Data Science at Columbia Engineering, with a focus on AI, ML, and Natural Language Processing, expected to complete in 2024.1

Skills and Expertise

Kim's skill set encompasses:

• Artificial Intelligence and Machine Learning
• Natural Language Processing
• Data Analytics
• Risk Management
• Trading Strategies

His work at the FDIC leverages these skills to improve operational efficiency and support the supervisory functions of the agency.12