Decisioning at scale: Why banks need to radically change their operating models now

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Twelve years ago, the banking industry suffered deep reputational damage in the wake of the 2008 global financial crisis. Bankers took the blame – in some cases deservedly – for large-scale economic problems that took a severe toll on many of society’s most vulnerable people. The crisis severely shook banks and financial institutions. Some, like Northern Rock, failed altogether. As a result, public trust in the banking sector has never fully recovered.

In 2020, we find ourselves faced with another global crisis – although this time, there’s no credible scapegoat for politicians or the media to blame. COVID-19 is nobody’s fault, but its impact on both society and the economy will be unprecedented. We will need to take tough decisions. But if banks succeed in supporting their customers through this difficult period, those customers will remember. This may, in fact, be the last and best hope for the banking sector to recover the trust and confidence that it lost in the last decade.

Reserves of strength

The good news is that banks are in a much stronger and sounder position today than they were in 2008. Regulations align better with economic reality, the capital provisions are greater, and the Bank of England intervened quickly to suspend all bonuses and dividends as soon as COVID-19 hit the UK. Customers are better protected too. And with the Financial Services Compensation Scheme (FSCS) effectively guaranteeing all retail deposits up to £85,000 (£170,000 for joint accounts), a bank run of the type that wrecked Northern Rock is very unlikely.

The worst is yet to come

However, there are difficult times ahead.  The government’s furlough scheme currently buffers banks. This has helped keep businesses afloat and employees paid. But these funds won’t last forever, and unless there’s an immediate bounceback after the lockdown, the worst of the crisis is surely yet to come. Not so much a “V-shaped recovery” – rather a “long tick.” When the money runs out, banks will have to start making difficult decisions, especially about lending.

What will make these decisions even more difficult is that the crisis has turned a lot of perceived wisdom about creditworthiness on its head. Who would have thought at the start of this year that airline pilots might be a credit risk, for example? In fact, many professions are likely to see significant reductions in business volumes and income over the coming months. And since many professionals are used to leading relatively credit-hungry lifestyles with large outgoings, the strain will soon start to show.

Struggling to scale

This is a problem because many banks currently take a bare-minimum approach to credit risk modelling. Most banks make day-to-day credit decisions using dated processes and data. They base them on a very broad segmentation of the customer base because when times were good, it didn’t seem worth the trouble to drill down to the individual level. Meanwhile, anomalies and unusually complex cases are referred to senior decision makers who use their experience to make the right calls manually, with expert judgment.

This approach simply won’t work in a situation where many more businesses and individuals are skating on thin ice, and a much larger proportion of decisions require sophisticated analysis. There just won’t be enough expertise to go around.

Until now, this hasn’t been an issue – after all, at high tide, most ships can sail serenely. But when the tide goes out, it’s the boats with the deepest draught that are the first to run aground. In the same way, it’s the banks with the most historical baggage that are in the greatest danger. If their legacy systems, siloed processes, organizational structures and change-resistant cultural norms make them unable or unwilling to adapt, they won’t have the agility to respond to the new reality.

In short, the UK’s largest banks need to act now. They need to put the right decisioning processes and infrastructures in place to support their human experts in making more tough decisions, faster and more accurately. And they also need that technology to guide a new generation of less-experienced decision makers, helping them make the right calls to help customers get back on an even keel.

Intelligent decisioning

The only option is for banks to level-up and simplify financial decisioning processes by adopting a more powerful, real-time and comprehensive approach to credit decisioning – one that will satisfy regulators and comply with all internal and external audit standards. A decisioning fabric.

At SAS, we’re helping banks around the world do just that. Our approach, which we call “intelligent decisioning,” enables decision makers to assess each individual case on its merits and take the right action to support each customer.

This ability to make responsible decisions and act effectively in real time is vital for banks to support vulnerable customers through the COVID-19 pandemic and to help rebuild “UK plc” in its aftermath. Moreover, in the longer term, intelligent decisioning will help bind banks and their customers closer together and demonstrate that banking is more than just another utility service, like electricity, water or gas. By getting closer to their customers and understanding their lives, needs and desires, banks can shift the perception of the value they offer and assume a role as trusted adviser and business partner. They will become an integral part of the fabric of the networked society.

By empowering decision makers with fine-grained insight into each customer’s unique situation, banks have the potential to rescue cash-strapped businesses and help struggling households find their way back to financial security.

A people business

This is important because one of the clearest lessons of the COVID-19 crisis is that banking is a people business. It isn’t just a matter of impersonal financial transactions; it’s central to people’s lives. There is an emotive power to financial decision making, especially when it can make or break a small business, save someone’s home from repossession, or just tide them over for a few months when money is tight.

That is a great responsibility, and it has serious consequences. Get it right and customers will remember; let them down and they will never forgive you. By empowering decision makers with fine-grained insight into each customer’s unique situation, banks have the potential to rescue cash-strapped businesses and help struggling households find their way back to financial security. By following this path, banks can win back the good reputation they lost in the aftermath of the 2008 financial crisis and play a central role in the UK’s recovery from the COVID-19 pandemic.

To learn more about what SAS is doing to help banks, feel free to reach out to me directly or find more information here.

 

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About Author

Brian Holden

My team and I support complex financial services organisations in making better decisions to increase net income, reduce business risk, drive a reduction in capital allocation and operating costs. We are working collaboratively with senior stakeholders to provide transformational change leveraging their customer and industry data to positively impact global initiatives.

1 Comment

  1. Great article Brian. It’s interesting because for the 2008 crisis banks needed a way to manage their risk position within far greater potential extreme market values than previously and this meant the old Monte Carlo simulations could not be performed during the overnight batch window. SAS in-memory processing and some clever new risk aggregations solved that problem with real time risk calculation and offered new profitability as a by-product. In this case it is the granularity of analysis and the diverse data that add critical value to the scoring that present the challenge. In this case SAS cloud-native architecture offers the solution and the 360 customer insight is the by product that will provide medium and long term value as well as thé short term remedy. SAS is the tech that just keeps giving more.

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