How to Reduce Your False Positive Hit Rate (Available in May 2012)

When performing filtering, financial institutions are confronted with a dual problem: on the one hand they must block listed entities in order to comply with regulations, on the other hand they should optimize their filtering process to avoid having too many false alerts. This one-day course gives you an insight into the various techniques to reduce your false-positive hit rate while abiding by the risk appetite of your institution.

Reference

FPHA1

Duration

1 day

Attendees

Advanced course intended to lists / rules manager(s) or to any person in charge of optimizing the filtering results.

Pre-requisites

• FFSU1, FFSU2, FMMU1, FMLU1, FLVU1 courses
• Knowledge of Windows and its applications
• This course is held in English

Material (in English)

• Technical documentation
• Memo
• Exercises
• Training Data

Objectives

• Identifying various techniques to reduce your false positive hit rate
• Appraising risk associated with hit reduction strategy
• Performing fine-tuning

Topics

• Achieve a methodology to analyse filtering results
• Define the most suitable strategy depending on the types of hits
• Perform fine-tuning on customer data
• Implement and test business rules
• Implement and test exceptions
• Create testing scenarios to control the impact of the hit reduction strategy
• Limit risks by narrowing the impact of rules and exceptions
• Perform non-regression tests

Should you require any additional information, feel free to contact your sale representative or Elsa Comolli at training@fircosoft.com