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Course Outline
Introduction to AI in Financial Crime
- Overview of fraud and AML challenges in the era of digital finance
- Comparison between traditional methods and AI-driven approaches
- Real-world case studies involving Mastercard, JPMorgan, and global banking institutions
Machine Learning for Transaction Monitoring
- Application of supervised learning for risk scoring and classification
- Use of unsupervised learning for detecting anomalies
- Generating real-time alerts and handling stream processing
Graph Analytics and Network Risk Detection
- Modeling connections between entities and transactions
- Identifying complex fraud schemes through graph AI
- Hands-on sessions using Neo4j or comparable tools
Natural Language Processing for AML
- Text mining applications in customer due diligence (CDD)
- Watchlist scanning via named entity recognition (NER)
- Prompt-based document review and processing of suspicious activity reports (SARs)
Model Governance and Explainability
- Creating models that are both explainable and auditable
- Detecting and mitigating bias in fraud detection algorithms
- Implementing XAI techniques within compliance frameworks
Ethics, Regulation, and Model Risk
- Adhering to AML and KYC frameworks (such as FATF, FinCEN, EBA)
- Ethical considerations in AI surveillance and customer monitoring
- Maintaining reporting standards and ensuring regulatory auditability
Deployment Strategies and Future Trends
- Integrating AI models into current transaction systems
- Establishing feedback loops and model update mechanisms
- The role of generative AI in fraud investigations and SAR automation
Summary and Next Steps
Requirements
- A solid grasp of fraud risks and AML procedures
- Experience with data analysis or compliance reporting
- Fundamental knowledge of Python or analytics platforms
Target Audience
- Fraud risk specialists
- AML compliance teams
- Security managers
14 Hours
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*
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Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
