Learn how effective AML analytics, algorithms, machine learning and data science can strengthen your compliance program. This session will also discuss using analytics to help BSA/AML investigations, how you can use the CDD data gathered along with analytics, model validation and BSA/AML.
Why Should You Attend:
The rapid advances in technology and reliance on transaction monitoring have emphasized the importance of deploying AML analytics, algorithms, machine learning and data science to detect patterns across data sets and improve program effectiveness. Learning and making predictions from data using these methods helps compliance professionals understand transaction behavior, analyze false-positive alerts to learn common predicators and manage financial crime risks. In this webinar, the instructor will discuss how to utilize analytics, algorithms and machine learning to achieve continuous, enhanced transaction monitoring, KYC and other AML activities.Areas Covered in the Webinar:
- Review case examples to show analytic techniques
- Use analytics to help explain customer behavior
- How to use analytics to help BSA/AML investigations
- How to work with your AML vendor to keep ahead of the curve
- How you can use the CDD data gathered along with analytics
- How to set up your scenario engine
- How to review your scenario engine to eliminate false positives
- Model validation and BSA/AML
Who Will Benefit:
- BSA/AML Analyst
- BSA/AML Technology Analyst
- BSA/AML Investigators
- Compliance Officers
- Risk Managers
- On-Boarding Managers
- MSB Managers
- Relationship Managers
Course Provider
Joe Soniat,
