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Duration 14 hours
Course Outline
Fundamentals of AI in Financial Crime
- The landscape of fraud and AML in the era of digital finance
- Comparing traditional methods with AI-driven strategies
- Real-world examples from Mastercard, JPMorgan, and other global banking institutions
Machine Learning Applications in Transaction Monitoring
- Applying supervised learning for risk assessment and classification
- Using unsupervised learning techniques for detecting anomalies
- Real-time alert creation and stream data processing
Graph Analytics for Identifying Network Risks
- Mapping the connections between entities and their transactions
- Uncovering intricate fraud schemes through graph AI
- Practical application using Neo4j or comparable tools
Natural Language Processing in AML
- Text analysis within customer due diligence (CDD)
- Scanning watchlists using named entity recognition (NER)
- Prompt-based document review and preparation of suspicious activity reports (SARs)
Model Oversight and Explainability
- Creating models that are transparent and subject to audit
- Identifying and mitigating bias within fraud detection algorithms
- Applying XAI techniques in regulatory compliance contexts
Ethics, Regulatory Frameworks, and Model Risk
- Adhering to AML and KYC standards (including FATF, FinCEN, and EBA guidelines)
- Ethical considerations in AI-driven surveillance and client monitoring
- Standards for reporting and ensuring regulatory audit trails
Deployment Tactics and Emerging Trends
- Embedding AI models into current transaction infrastructure
- Establishing feedback loops and mechanisms for model updates
- The role of generative AI in fraud investigations and SAR automation
Recap and Forward Path
Requirements
- A solid grasp of fraud risks and AML protocols
- Prior experience in data analysis or compliance reporting
- Foundational knowledge of Python or relevant analytics platforms
Target Audience
- Specialists in fraud risk management
- AML compliance personnel
- Information security managers
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
