Course Outline
Introduction to AI in Financial Crime
- Overview of fraud and AML in the digital finance era
- Traditional vs AI-based approaches
- Case studies from Mastercard, JPMorgan, and global banks
Machine Learning for Transaction Monitoring
- Supervised learning for risk scoring and classification
- Unsupervised learning for anomaly detection
- Real-time alert generation and stream processing
Graph Analytics and Network Risk Detection
- Modeling relationships between entities and transactions
- Detecting complex fraud schemes using graph AI
- Hands-on with Neo4j or similar tools
Natural Language Processing for AML
- 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
- Building explainable and auditable models
- Bias detection and mitigation in fraud detection algorithms
- Use of XAI techniques in compliance settings
Ethics, Regulation, and Model Risk
- Compliance with AML and KYC frameworks (e.g. FATF, FinCEN, EBA)
- AI ethics in surveillance and customer monitoring
- Reporting standards and regulatory auditability
Deployment Strategies and Future Trends
- 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
Requirements
- An understanding of fraud risk and AML procedures
- Experience with data analysis or compliance reporting
- Basic familiarity with Python or analytics platforms
Audience
- Fraud risk professionals
- AML compliance teams
- Security managers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (3)
Trainers can answer all questions and accept any queries
Dewi Anggryni - PT Dentsu International Indonesia
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise
Joanne Wong - IPG HK Limited
Course - Applied AI for Financial Statement Analysis & Reporting
Possible applications /exercises
