Get in Touch

Course Outline

Foundations of AI in Financial Crime

  • Fraud and AML challenges in the era of digital finance
  • Comparing traditional methods with AI-driven solutions
  • Real-world case studies from Mastercard, JPMorgan, and other global banks

Machine Learning in Transaction Oversight

  • Applying supervised learning for risk scoring and categorisation
  • Leveraging unsupervised learning to spot anomalies
  • Generating real-time alerts via stream processing

Graph Analytics and Network Risk Identification

  • Mapping connections between entities and transactions
  • Uncovering sophisticated fraud schemes through graph AI
  • Practical exercises using Neo4j or similar tools

Natural Language Processing for AML

  • Text mining applications in customer due diligence (CDD)
  • Watchlist scanning via named entity recognition (NER)
  • Prompt-driven document analysis and suspicious activity reports (SARs)

Model Governance and Transparency

  • Constructing models that are both explainable and auditable
  • Identifying and mitigating bias in fraud detection algorithms
  • Incorporating XAI techniques into compliance workflows

Ethics, Regulation, and Model Risk

  • Adhering to AML and KYC frameworks (e.g. FATF, FinCEN, EBA)
  • Ethical considerations in surveillance and customer monitoring
  • Maintaining reporting standards and regulatory auditability

Deployment Strategies and Emerging Trends

  • Embedding AI models into established transaction systems
  • Establishing feedback loops and continuous model updating
  • The future role of generative AI in fraud investigation and SAR automation

Key Takeaways and Future Directions

Requirements

  • A solid grasp of fraud risk management and AML protocols
  • Practical experience in data analysis or compliance reporting
  • Fundamental familiarity with Python or comparable analytics platforms

Target Audience

  • Fraud risk specialists
  • AML compliance professionals
  • 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.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

Contact us for an exact quote and to hear our latest promotions

Testimonials (1)

Provisional Upcoming Courses (Contact Us For More Information)

Related Categories