Taehun Kim

Financial AI in Practice

Financial AI in Practice shows you how to deliver financial AI solutions that are more than just a few deployed algorithms. You’ll learn to build a complete, compliant application using the kind of messy, imperfect data you'll encounter in industry. The book introduces around four complete, production-minded systems that handle the core tasks of credit, fraud, investment, and operational efficiency. You’ll build an end-to-end pipeline that assesses credit risk, use supervised, unsupervised, and graph-based models to detect fraud, and combine a quantitative model with LLM-powered news analyses for a hybrid investment strategy. As you build, you’ll master Taehun’s simple-but-powerful 4-Layer Framework, a mental model you can apply to any AI project in finance.