Advanced Analytics for Finance
1st Edition
By Ali Soofastaei
Copyright Year ©
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Description
Book Description
Advanced Analytics for Finance explains how data science, artificial intelligence, machine learning, optimisation, and decision intelligence can be applied to modern financial management and financial services. Covering financial data governance, forecasting, FP&A, risk analytics, credit risk, fraud detection, portfolio analytics, treasury optimisation, audit analytics, generative AI, model governance, and value realisation, the book provides a practical framework for building trustworthy, explainable, and decision-oriented financial analytics capabilities. It is designed for finance professionals, risk managers, investment analysts, data scientists, digital transformation leaders, researchers, and postgraduate students working at the intersection of finance and analytics.
Table of Contents
Chapter 1: Introduction to Advanced Analytics for Finance Chapter 2: Financial Decisions, Value, and Analytical Thinking Chapter 3: Statistical and Modelling Foundations for Finance Chapter 4: Financial Data Architecture and Governance Chapter 5: Financial Data Sources and Contextualisation Chapter 6: Preparing Financial Data for Analytics Chapter 7: Financial Performance Analytics and Management Reporting Chapter 8: Diagnostic Analytics for Profitability, Cost, and Business Drivers Chapter 9: Forecasting for Financial Planning and Analysis Chapter 10: Machine Learning for Finance Chapter 11: Time-Series Analytics, Volatility, and Financial Forecasting Chapter 12: Credit Risk Analytics and Default Prediction Chapter 13: Market, Liquidity, and Enterprise Risk Analytics Chapter 14: Fraud Detection, AML, and Financial Crime Analytics Chapter 15: Audit Analytics, Control Monitoring, and Compliance Chapter 16: Portfolio Analytics and Investment Decision Support Chapter 17: Asset Pricing, Factor Models, and Quantitative Strategies Chapter 18: ESG, Climate, and Sustainability Analytics in Finance Chapter 19: Optimisation for Financial Decisions Chapter 20: Treasury, Working Capital, and Liquidity Optimisation Chapter 21: Decision Intelligence and Human-in-the-Loop Finance Chapter 22: Artificial Intelligence and Generative AI in Finance Chapter 23: Finance Data Platforms, Model Deployment, and System Integration Chapter 24: Model Risk Management and Analytics Governance Chapter 25: Building the Finance Analytics Operating Model Chapter 26: Future of Advanced Analytics in Finance
Editor
Dr. Ali Soofastaei
Biography
​Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.
​He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.
Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.
