FinTech CTO: Combating Financial Crime with Advanced AML Strategies

Anti-Money Laundering (AML) practices in banking

FinTech CTO: Combating Financial Crime with Advanced AML Strategies
FinTech CTO: Combating Financial Crime with Advanced AML Strategies
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About the course

This session offers a comprehensive understanding of Anti-Money Laundering (AML) practices in banking, covering current trends, cutting-edge technologies, and best practices for building robust AML platforms. Part 1 introduces AML importance, explores regulatory trends, and discusses advanced AML technology. Part 2 delves into AML system setup, data analysis techniques, challenges, and machine learning. Part 3 explores innovative AML approaches, evolving applications, and real-world use cases. Attendees will gain essential insights for implementing effective AML strategies, crucial for CTOs and compliance professionals in safeguarding financial systems.

Who should attend

  • Reconciliation Associates working in Investment Banking & Fund Services.
  • Accounting graduates who want to launch their career as a fund accountant.
  • MBA Finance graduates who want to work in Hedge Fund and Private Equity firms.

What you will learn

  • Welcome and Course Introduction: Begin the session with introductions, a high-level course overview, and a roadmap for the module on Banking Risk Management.
  • Financial Crime & AML in Banking: Introduce the concept of AML and its importance in combating financial crime within the banking sector.
  • AML Trends Overview: Explore the evolving landscape of AML regulations and the emerging trends that are shaping the industry.
  • Exploring Key AML Technology Trends: Discuss how advanced technologies, like machine learning, are revolutionizing AML compliance.
  • Introduction to AML and System Setup: Learn the core components and considerations for setting up an AML system within a bank.
  • Real-World Examples: Illustrative AML Use Cases : Analyze practical examples of how AML systems are used to detect and prevent financial crime.
  • Challenges in Traditional AML Software: Explore the limitations of legacy AML software and the need for modernization.
  • Common AML Reporting Practices: Gain insights into standard reporting procedures for AML compliance.
  • Machine Learning in AML: Discover how machine learning algorithms can enhance AML detection and risk assessment.
  • Innovative Approaches to AML: Explore innovative technologies and strategies that are transforming AML compliance.
  • Changes in AML Applications: Discuss how AML applications are evolving to meet the demands of the ever-changing financial landscape.

Additional Resources:

  • Data Lakes in Modern AML Platforms
  • Modern AML Reference Architecture
  • AML Module Best Practices

About the instructor

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