Compliance in Financial Digital Transformation

Digital Transformation in Financial Compliance and RegTech

Program Overview

A specialized program that explores the regulatory challenges and opportunities presented by digital transformation in modern financial compliance. The program focuses on leveraging emerging technologies—including Regulatory Technology (RegTech), artificial intelligence (AI), machine learning, and automated transaction monitoring systems—to enhance compliance functions within both traditional financial institutions and digital financial services providers.

Duration: 4 Days
Training Hours: 24 Training Hours
Target Audience: Digital compliance officers, FinTech professionals, IT managers in financial institutions, and teams responsible for developing and implementing compliance systems.
Delivery Mode: In-person / Live Online

Detailed Learning Objectives

By the end of the program, participants will be able to:

• Understand how digital transformation is reshaping regulatory compliance risks within the Saudi financial sector.
• Evaluate RegTech solutions and establish selection and implementation criteria aligned with the regulatory requirements of the Saudi Central Bank (SAMA) and the Capital Market Authority (CMA).
• Apply artificial intelligence (AI) and machine learning techniques to automate transaction monitoring, anomaly detection, and regulatory compliance processes.
• Design, implement, and manage automated AML/CFT transaction monitoring systems, including alert generation, case management, and escalation workflows.
• Assess and manage compliance risks associated with emerging digital business models, including digital banks, digital wallets, and peer-to-peer (P2P) lending platforms.

Key Topics

• Digital Transformation and Regulatory Compliance: Opportunities, challenges, and regulatory adaptation within the Saudi financial sector.
• RegTech Ecosystem: Classification of RegTech solutions, evaluation methodologies, implementation strategies, and integration with existing enterprise systems.
• Artificial Intelligence in Compliance: Applications of Natural Language Processing (NLP), machine learning, intelligent decision engines, and anomaly detection for regulatory compliance.
• Transaction Monitoring Systems: System architecture, rule calibration, false positive management, case investigation, and Suspicious Transaction Report (STR) submission.
• Digital Identity and Electronic Know Your Customer (eKYC): Digital identity standards, legal recognition, remote customer verification, and associated compliance challenges.