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Course Outline
Fundamentals of AI in Financial Crime Prevention
- Contextualizing fraud and AML challenges in the digital finance landscape
- Comparing traditional methods with AI-driven solutions
- Analyzing case studies from Mastercard, JPMorgan, and other global banking entities
Leveraging Machine Learning for Transaction Surveillance
- Applying supervised learning for risk assessment and classification
- Utilizing unsupervised learning techniques for anomaly identification
- Implementing real-time alert generation and stream processing capabilities
Graph Analytics and Identifying Network Risks
- Constructing models that map relationships between entities and transactions
- Uncovering complex fraud schemes through graph AI applications
- Practical workshops using Neo4j or comparable tools
NLP Applications in Anti-Money Laundering
- Conducting text mining for customer due diligence (CDD) processes
- Enhancing watchlist scanning via named entity recognition (NER)
- Utilizing prompt-based methods for document review and suspicious activity reports (SARs)
Model Governance and Enhancing Explainability
- Developing models that are both explainable and auditable
- Identifying and addressing bias in fraud detection algorithms
- Integrating XAI techniques into compliance workflows
Ethical Considerations, Regulatory Standards, and Model Risk
- Ensuring alignment with AML and KYC frameworks (such as FATF, FinCEN, and EBA)
- Upholding AI ethics in surveillance and customer monitoring practices
- Adhering to reporting standards and maintaining regulatory auditability
Deployment Strategies and Emerging Trends
- Seamlessly integrating AI models into current transaction systems
- Establishing feedback loops and robust model updating mechanisms
- Exploring the role of generative AI in fraud investigation and SAR automation
Conclusions and Path Forward
Requirements
- Solid grasp of fraud risks and AML procedures
- Practical experience in data analysis or compliance reporting
- Foundational knowledge of Python or relevant analytics platforms
Target Audience
- Professionals focused on fraud risk management
- AML compliance specialists and teams
- Security managers and leaders
14 Hours
Testimonials (1)
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