search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
UK LEGAL


Key takeaways from the Gambling Commission’s enforcement action against QuinnBet


By Northridge Law’s Melanie Ellis. T


he Gambling Commission’s recent settlement with remote betting and casino operator QuinnBet reveals some interesting points about the Commission’s evolving regulatory expectations. In light of AML and social responsibility failings identifi ed by the Commission, QuinnBet agreed to pay a settlement of £609,104. Following a change in approach announced on 22 July, this money will go to the Government’s consolidated fund (essentially the pot of money that includes all tax receipts) rather than safer gambling charities and research initiatives.


22 SEPTEMBER 2026


The settlement concludes an investigation process that began with a compliance assessment in March 2025, which identifi ed failings in the operator’s customer interactions, fi nancial vulnerability checks and AML controls. Ironically, it seems that some of the identifi ed failings occurred due to issues that arose during the operator’s migration to a new system, that appears to have been at least partly designed to improve compliance by allowing limits to be applied to customers automatically.


The examples cited by the Commission broadly follow the usual pattern, including


customers gambling at levels apparently inconsistent with known income, failures to verify source of funds, delays in identifying indicators of harm and shortcomings in suspicious activity reporting processes, but there are some useful insights into the regulator’s current approach. In its published decision, the Commission demonstrates a particular focus on whether the operator’s controls functioned effectively in practice, particularly where they relied on automated systems and customer risk monitoring tools.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108