Collaborative Profiling is one of the advanced techniques in our fraud models for prepaid card fraud

New FICO data shows high rate of card fraud as criminals hitch a ride on Uber and Lyft

Artificial Intelligence is encountering new demands in the areas of responsibility, advocacy and regulation.

Credit cards appear to be the main target of fraud, with an average fraud rate 1.5 times that of debit cards

2-cycle balances growing for cards raise issues around Persistent Debt

FICO analytics can identify more low-value card fraud, an important next step in stopping criminals

The BoE's new report says explainable AI is necessary for machine learning to be applied in credit management

As CNP fraud targets the online growth in luxury spending, new analytics improve the velocity of detection

My last two posts on persistent debt in the UK focused on compliance and prevention. Here’s a different angle: Can issuers actually compete in this area?

Following on from my previous post on persistent debt, here I’m tackling the topic of preventing customers from falling into persistent debt.

While issuers have already started the actions prescribed by the FCA's persistent debt regulations, there is still a sizeable amount of work to complete and opportunities to be identified.

With over £40 billion of unused exposure on inactive UK cards and over £50 billion on active UK cards there is the potential for huge losses if consumers start to eat into these limits.

Our analysis of UK cards data from the FICO Benchmarking Service has revealed some troubling trends in UK cards delinquencies. All average delinquent balances reached over two-year highs in the fourth quarter of 2018.

Following on from evaluating the roll rate results, this blog looks at the static delinquency levels, accounts remaining at the same level of delinquency.

Balance roll rates — overdue balances on UK cards that go from one 30-day cycle to the next without repayment — moved sl...