AI for Financial Regulation, Risk, and Compliance

Learn about the use cases of AI to streamline regulatory compliance, enhance risk management, and drive operational efficiency within the financial services industry.
May 23, 2024
12:00 PM - 04:00 PM (Eastern Time)
Duration: 1 Day
Hours: 4 Hours
Training Level: All Level
Virtual Class Id: 51407
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

The financial services industry is faced with an increasingly complex regulatory landscape, heightened risk management demands, and the need for robust compliance frameworks. This intensive 4-hour live training will provide you with a comprehensive understanding of how AI can be leveraged to enhance regulatory compliance, risk management, and operational efficiency within the financial sector. Gain insights into the latest AI applications, best practices, and real-world case studies.

Course Objective:

  • Understand the potential of AI in streamlining regulatory compliance processes and reducing manual efforts.
  • Explore AI-driven risk management solutions for identifying, assessing, and mitigating financial risks.
  • Learn how AI can enhance fraud detection, anti-money laundering (AML), and know-your-customer (KYC) processes.
  • Discover AI applications for automating compliance reporting, monitoring, and auditing.
  • Gain insights into the regulatory implications of using AI in the financial sector.
Who is the Target Audience?

  • Compliance officers, risk managers, and regulatory professionals in financial institutions.
  • AI/ML developers and data scientists working in the financial services industry.
  • Legal and governance professionals are responsible for ensuring regulatory compliance.
  • Executives and decision-makers exploring the adoption of AI solutions in finance.
Basic Knowledge:

  • Familiarity with financial regulations, risk management principles, and compliance frameworks.
  • Basic understanding of machine learning technologies.
  • Awareness of data privacy considerations in the financial sector.

Curriculum
Total Duration: 4 Hours
Regulatory compliance reporting automation using AI
AI-driven risk management and risk analytics
AI applications in Fraud detection and anti-money laundering (AML)
AI applications in know-your-customer (KYC) processes
AI technology for compliance monitoring, auditing, and surveillance
Case studies and best practices with homework reading list