Based on graduate-level courses at Nanyang Technological University in Singapore, this engaging textbook presents mathematical tools used for financial risk modeling and related analytics. Organized into three parts, the book begins with stochastic modeling. Part II focuses on classical risk measures, and Part III presents more advanced concepts in credit risk. Designed to be largely self-contained, the text assumes only a basic knowledge of undergraduate probability and statistics. Detailed proofs and derivations encourage a thorough understanding. Statistical concepts are illustrated…