Regulators expect to see surveillance that targets your specific business’ risks
- Off-the-shelf alert models are too rigid to meet your needs
- Off-the-shelf models all have a black box dimension that makes regulatory scrutiny challenging
- Model Risk Management expectations make this even more problematic
Data Integrity has to be 100% proven and governed
- Applying data validations and controls is a continuous exercise that needs to be embedded in your surveillance framework, not ‘configured’ into a generic app
- Measuring data impacts is essential and integral to managing false positives and monitoring model risk
Would you rather invest in a black box that forces you to compromise, or take ownership of your Surveillance?