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The New Rules of Lender Panels:
Data, Risk and Removal

“We have declined your panel membership for the above lenders due to the following…”

If you thought CQS accreditation guaranteed a place on lender panels, think again!

For years, firms were removed from panels because of a clear failure. A major negligence claim or a fraud investigation. That is no longer how panel management works. Lenders and their panel managers are now using open source data and analytics to monitor firms and reduce panel risk before problems appear.

Lenders are not waiting for something to go wrong. They are looking for signals that it might.

This session explains the data signals lenders are using when deciding whether a firm remains on a panel. We will cover:

• How lenders use open source data to identify early indicators of firm risk.

• Why removal from one lender panel can trigger reviews across multiple lenders within days.

• How to respond to requests for detailed information from lenders or panel managers during a panel review.

• How the appeal process works and how to improve the chances of a successful outcome.

Panel access is becoming more fragile and more data driven. We will show the types of risk dashboards lenders now use and explain the specific open source data sources that have been linked to panel removals since January.

Most firms don’t realise they are under investigation until they are already off the list.

Don't be the firm that finds out through a rejected mortgage offer.

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