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Course Outline
Introduction to AI in Financial Crime Prevention
- Landscape of fraud and AML in the age of digital finance
- Comparing conventional methods with AI-driven strategies
- Real-world examples from Mastercard, JPMorgan, and major global banks
Machine Learning for Transaction Surveillance
- Applying supervised learning for risk assessment and classification
- Using unsupervised learning to spot unusual patterns
- Generating real-time alerts via stream processing
Graph Analytics and Network Risk Identification
- Modeling connections between entities and financial transactions
- Uncovering intricate fraud rings using graph AI
- Practical labs using Neo4j or equivalent tools
Natural Language Processing for AML Compliance
- Mining text data during customer due diligence (CDD)
- Screening watchlists using named entity recognition (NER)
- Reviewing documents and suspicious activity reports (SARs) using prompt-based techniques
Model Governance and Transparency
- Developing models that are explainable and subject to audit
- Identifying and reducing bias in fraud detection algorithms
- Applying XAI methods within compliance frameworks
Ethical Considerations, Regulation, and Model Risk
- Aligning with AML and KYC frameworks (such as FATF, FinCEN, and EBA)
- Ethical AI practices in surveillance and customer monitoring
- Meeting reporting standards and ensuring regulatory auditability
Deployment Strategies and Emerging Trends
- Integrating AI models into current transaction processing systems
- Implementing feedback loops and mechanisms for model refreshment
- The role of generative AI in future fraud investigations and SAR automation
Recap and Forward-Looking Steps
Requirements
- A solid grasp of fraud risks and AML regulatory procedures
- Practical experience in data analysis or compliance reporting
- Foundational knowledge of Python or other analytics platforms
Intended Learners
- Fraud risk specialists
- AML compliance personnel
- Security administrators
14 Hours
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
