Course structure
Session 1
- Introduction to analytics methods.
- Segmentation.
- Threshold tuning.
- Leadership perspective.
- Create value.
- Personal communication.
- Introduction to AML.
- Codes and Definitions.
- Prospective view.
Session 2
- Unsupervised learning.
- Predictive modelling.
- Business model.
- Decision-making process.
- Identifying stakeholders.
- Core of transaction monitoring.
- Improve efficiency and effectiveness.
Session 3
- Text analytics.
- NLP/NLG.
- QKB – Match codes.
- Contextual analysis.
- Preparing meetings.
- Interviewing techniques.
- Building trust.
- Sanctions.
Session 4
- Entity resolution.
- Entity consolidation.
- Dynamic networks.
- Data collection.
- Interact with stakeholders.
- Impact business.
- Explaining with simplicity.
- TBML, CB, capital markets.
- Terrorism financing.
Session 5
- RPA, Deep Learning.
- Agents, auto learning.
- Challenges with change.
- Human stages – transition model.
- Eight-step model.
- AI next gen.
