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Course Outline
AI Foundations in Financial Crime Prevention
- Context of fraud and AML within the current digital financial landscape
- Comparison between conventional methods and AI-driven strategies
- Real-world case studies from Mastercard, JPMorgan, and other global banks
Applying Machine Learning to Transaction Monitoring
- Supervised learning techniques for risk assessment and categorization
- Unsupervised learning methods for identifying anomalies
- Generating real-time alerts and processing data streams
Graph Analytics for Identifying Network Risks
- Mapping connections between entities and financial transactions
- Identifying intricate fraud schemes through graph AI
- Practical sessions using Neo4j or comparable tools
NLP Applications in AML Processes
- Extracting insights from text in customer due diligence (CDD)
- Scanning watchlists utilizing named entity recognition (NER)
- Reviewing documents and generating suspicious activity reports (SARs) via prompt-based methods
Governance and Model Transparency
- Creating models that are explainable and subject to audit
- Identifying and reducing bias in fraud detection algorithms
- Applying XAI methodologies within compliance environments
Ethics, Regulatory Frameworks, and Model Risk
- Adhering to AML and KYC standards (e.g., FATF, FinCEN, EBA)
- Ethical considerations in surveillance and customer oversight
- Maintaining reporting standards and ensuring regulatory auditability
Deployment Tactics and Emerging Trends
- Embedding AI models into established transaction systems
- Implementing feedback loops and mechanisms for model updates
- The role of generative AI in fraud investigations and automating SARs
Recap and Path Forward
Requirements
- Foundational knowledge of fraud risks and AML protocols
- Prior experience in data analysis or compliance reporting
- Basic proficiency with Python or analytics platforms
Target Audience
- Specialists in fraud risk management
- Teams focused on AML compliance
- 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
