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Course Outline
Introduction to Artificial Intelligence (AI) in Financial Crime Prevention for Government
- Overview of Fraud and Anti-Money Laundering (AML) in the Digital Finance Era
- Comparison of Traditional Methods with AI-Based Approaches
- Case Studies from Mastercard, JPMorgan, and Global Financial Institutions
Machine Learning for Transaction Monitoring for Government
- Supervised Learning Techniques for Risk Scoring and Classification
- Unsupervised Learning Methods for Anomaly Detection
- Real-Time Alert Generation and Stream Processing
Graph Analytics and Network Risk Detection for Government
- Modeling Relationships Between Entities and Transactions
- Detecting Complex Fraud Schemes Using Graph AI
- Hands-On Experience with Neo4j or Similar Tools
Natural Language Processing (NLP) for AML for Government
- Text Mining in Customer Due Diligence (CDD)
- Watchlist Scanning Using Named Entity Recognition (NER)
- Prompt-Based Document Review and Suspicious Activity Reports (SARs)
Model Governance and Explainability for Government
- Building Explainable and Auditable Models
- Bias Detection and Mitigation in Fraud Detection Algorithms
- Application of Explainable AI (XAI) Techniques in Compliance Settings
Ethics, Regulation, and Model Risk for Government
- Compliance with AML and Know Your Customer (KYC) Frameworks (e.g., FATF, FinCEN, EBA)
- Ethical Considerations in Surveillance and Customer Monitoring
- Reporting Standards and Regulatory Auditability
Deployment Strategies and Future Trends for Government
- Integrating AI Models into Existing Transaction Systems
- Feedback Loops and Model Updating Mechanisms
- Future of Generative AI in Fraud Investigation and SAR Automation
Summary and Next Steps for Government
Requirements
- Knowledge of fraud risk and Anti-Money Laundering (AML) procedures for government operations
- Experience in data analysis or compliance reporting
- Basic understanding of Python or analytics platforms
Audience
- Fraud risk professionals for government agencies
- AML compliance teams for government entities
- Security managers for government departments
14 Hours
Testimonials (2)
it went through language right up to automation and made me aware of what capabilities I have.
Declan Glennon - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise