ON DEMAND WEBINAR
Key takeaways
Understand how to analyze your data and incorporate data quality operations into your matching rules for better results
Learn how to deploy a risk-based approach by applying different matching rules by risk level, internal data source, and compliance lists to reduce risk and cost
Learn how to evaluate your matching rules to determine acceptable levels of false positives against the prospect of false negatives
The ability of your matching algorithm to identify risk and your ability to understand, explain, and justify the technology to your regulator(s) is critical to your screening program’s success. Failing to properly define and understand your matching rules can drive up the number of false positives, greatly increase the risk of missing a true match, and may result in fines and reputational damage. In this webinar, we unravel what it means to explain algorithm-based decisions and demonstrate how you can confidently meet your regulators’ expectations of transparency in your AML sanctions and PEP screening program.
With regulators increasingly emphasizing the importance of granularity and transparency in the matching technology deployed for your AML program, it’s imperative for compliance officers to understand and be able to explain how their different match rules were developed and are applied to effectively mitigate risk. Although incorporating a risk-based approach may seem overwhelming, doing so will, in the long run, help you save time and effort and more efficiently reduce risk.
This webinar offers actionable insights to how matching technology can improve the effectiveness of your screening program, provide understandable and explainable results, and support the different regions in which your business operates.
Speakers
Kieran Holland
FinScan Senior PreSales Engineer, Innovative Systems
Steve Marshall
Director, FinScan Advisory Services, Innovative Systems