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RegTech and Compliance Automation with Python: Building AI-Powered Regulatory Systems and Supervisory Technology
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Publisher: Independently Published
Pages: 614
Weight: 1.61
Height: 1.52 Width: 6.00 Depth: 9.00
Language: English
RegTech and Compliance Automation with Python provides a practical exploration of how to leverage Python for building modern regulatory technology solutions. This book examines the integration of artificial intelligence and automation in regulatory systems, supervisory technology (SupTech), automated reporting, and stress testing frameworks.
Readers will learn foundational approaches to developing AI-powered tools that help streamline compliance processes, enhance regulatory oversight, and improve data-driven decision making. The content covers key concepts in RegTech, practical implementation strategies, and technical considerations for creating robust automated systems.
Who This Book Is For:
- Compliance professionals and risk managers seeking technical solutions
- Python developers working in financial services or regulatory environments
- RegTech practitioners and SupTech enthusiasts
- Technology leaders implementing automation in governance, risk, and compliance (GRC) functions
Whether you are new to regulatory technology or looking to strengthen existing systems, this book offers structured guidance on applying Python to real-world compliance challenges.
Note: This book focuses on technical concepts and implementation examples. Readers should ensure all solutions comply with applicable regulations and organizational policies.
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