Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AI in Financial Crime
- Contextualizing fraud and AML in the age of digital finance
- Comparing traditional methods with AI-driven solutions
- Examining case studies from Mastercard, JPMorgan, and other global banks
Machine Learning for Transaction Monitoring
- Applying supervised learning for risk scoring and classification
- Using unsupervised learning to detect anomalies
- Generating real-time alerts via stream processing
Graph Analytics and Network Risk Detection
- Mapping relationships between entities and transactions
- Uncovering complex fraud schemes with graph AI
- Practical work with Neo4j or equivalent tools
Natural Language Processing for AML
- Leveraging text mining for customer due diligence (CDD)
- Implementing watchlist scanning via named entity recognition (NER)
- Conducting prompt-based document reviews and suspicious activity reports (SARs)
Model Governance and Explainability
- Constructing models that are both explainable and auditable
- Identifying and mitigating bias in fraud detection algorithms
- Applying XAI techniques within compliance contexts
Ethics, Regulation, and Model Risk
- Aligning with AML and KYC frameworks (e.g., FATF, FinCEN, EBA)
- Navigating AI ethics in surveillance and customer monitoring
- Upholding reporting standards and regulatory auditability
Deployment Strategies and Future Trends
- Integrating AI models into current transaction systems
- Establishing feedback loops and model update mechanisms
- Exploring the role of generative AI in fraud investigation and SAR automation
Recap and Recommended Next Steps
Requirements
- Familiarity with fraud risk management and AML procedures
- Practical experience in data analysis or compliance reporting
- Foundational knowledge of Python or relevant analytics platforms
Target Audience
- Fraud risk specialists
- AML compliance professionals
- Security managers
14 Hours
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
