The Intelligent Risk Analyst: AI, Data & Decision-Making in the Modern Enterprise

The Intelligent Risk Analyst: AI, Data & Decision-Making in the Modern Enterprise explores how artificial intelligence, data analytics, and modern decision-making methods are transforming enterprise risk management.
Written by Anjali Mudireddy, this professional reference book examines the evolving responsibilities of risk analysts in an increasingly digital, interconnected, and uncertain business environment. It explains how organisations can move beyond traditional risk assessment practices towards intelligent, evidence-based approaches that support informed management decisions.
Across 20 chapters, the book introduces the foundations of enterprise risk, risk data architecture, statistical analysis, machine learning, generative AI, and predictive risk modelling. It examines practical applications in credit risk, operational risk, cybersecurity, fraud detection, financial crime, third-party dependencies, and strategic risk intelligence.
Readers are introduced to advanced analytical concepts, including early-warning systems, natural language processing, anomaly detection, scenario analysis, Monte Carlo simulation, Bayesian reasoning, and risk quantification. Dedicated discussions address responsible AI, model validation, explainability, algorithmic fairness, and governance.
The book combines conceptual explanations with decision frameworks, analytical examples, practitioner checklists, review questions, and illustrative templates. Its emphasis is on translating data into reliable evidence, actionable insights, and accountable decisions.
Designed for risk management professionals, business analysts, financial services practitioners, managers, and students, this book provides a structured introduction to the capabilities required for intelligent risk analysis in modern enterprises.