Use relevant data points in frictionless checks to identify financial vulnerability risks more accurately.
We call this the "CCJ problem". People receive CCJs for a very wide range of things, from unpaid parking fines to significant loan defaults. To identify vulnerable customers more accurately, operators need to filter out items which are not related to financial health - for example, an unpaid parking ticket sent to the wrong address (it happens more than you might think). Operators should use a platform like DOTRUST COMPLETE which allows them to calibrate the size and the source of the indicators.
This speaks to the FCA Capability and Adverse Events tests. Where a person has a pattern of financial problems which have reached a court or official settlement, the situation is difficult. Operators who are able to effectively understand this from the data will be much more effective than those taking a blanket approach.
Sensitise your checks to younger and older customers
The FCA requires financial firms to sensitise their evaluation for age. Younger people tend to have fewer commitments but also lower incomes; older people tend to have fixed lower incomes and outgoings. This often translates into tight circumstances where there is little margin for error.
Of course this doesn't mean older or younger people can't or won't gamble, only that the impact for them of a large loss is likely to be relatively greater than for a person with more resources. Operators are likely to be expected by the GC to take age into account, particularly during frictionless assessments where the operator does not have proof of income, only estimates or signals from public records.
Go beyond income in enhanced checks
Income is to financial vulnerability what wagering turnover is to hold: all heat and little light. A person on a high salary may have a very small disposable income and, as we have often seen, people on a low income might have a lot of money to spend on gambling from (say) a large win.
For this reason, the best way to identify financially vulnerable customers from bank data, once you reach this point, is to dig into other factors. We recommend setting a standard risk evaluation method in your company so that you can compare the results across customers and over time to ensure consistency and improve accountability in the event of an inspection.
Key things to look for are:
• Drops in disposable income; take the net receipts after tax and deduct housing, food, energy and fuel. Financial vulnerability is indicated by a low value relative to gross income, or a sudden drop which indicates a financial shock of some kind.
• Relying on credit; if a customer's credit card bill suddenly leaps up, or they have been opening new credit accounts, this is a strong signal of financial stress.
• Betting with the rent; if a customer suddenly starts making gambling deposits from an overdrawn or very low balance account, and depletes their account to the point where bills are not being paid.
All of these can be measured objectively and given a value which is objectively testable and defensible as a basis for designing and implementing strong procedures.
In a future post we'll take a closer look at the LCCP for financial risk assessments once they are published to help operators build a strong and effective compliance strategy.