As financial services face an increasingly volatile digital landscape, risk management teams must balance innovation with control. The key lies in leveraging emerging technologies like AI while ensuring governance frameworks stay agile to manage emerging
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Head into
any discussion or event concerning the subject of risk management and what’s
keeping CROs and other senior risk leaders awake at night, and the chances are
you’ll find yourself in a conversation about technology.
The
financial services sector is becoming increasingly digitally volatile. That, in
and of itself, isn’t necessarily a bad thing: in our burgeoning tech-focused
world, AI, blockchain, and cyber offer opportunities as much as they do
threats.
The
challenge for risk management teams isn’t about how to suppress those tools.
Rather, it is about how to give them room to breathe without losing control and
having them become the runaway train that outpaces an organization’s existing
governance frameworks.
Emerging
technologies like AI and blockchain are reshaping our lives on personal,
industrial, organizational and financial levels. The endgame lies not in keeping
up with them so much as getting ahead of them.
That means
looking at emerging trends around tech usage and regulatory and compliance
expectations – and then applying and adapting fit-for-purpose frameworks –
proactively – to identify and intercept risk at the earliest possible moment.
Sean Titley,
a seasoned expert in risk management, has seen this transformation firsthand.
With decades of experience across credit risk, non-financial risk, and
operational risk, he has worked with institutions ranging from retail banks to
asset finance firms.
In April, he
will share his insight on this subject at CeFPro’s upcoming Risk Evolve
conference.
When Connect
caught up with him earlier this month, he reflected on on the importance of
robust governance frameworks and the strategies organizations need to implement
in an era of rapid technological advancement.
Keeping
Up with Emerging Risks
The
conversation around risk frameworks and emerging technologies is not new, he
observes, but it remains an ongoing challenge.
“There’s
been a tendency to layer new frameworks on top of old ones,” he said. “But
rather than creating more committees and complexity, we should look at AI and
other emerging risks as cross-cutting themes that impact multiple areas – data
security, technology disruption, and more.”
To keep
pace, organizations need to ensure they have the right expertise in place.
“It’s about training, awareness, and making sure you’ve got the right reporting
all the way up to the board level,” he explains.
“Keeping on
top of fast-moving developments is crucial, and that means having the right
people in place to interpret and act on the risks as they emerge.”
The Role
of Technology in Risk Management
We all know
that the digital landscape is evolving at an unprecedented rate, and
non-financial risks—such as cybersecurity, ESG concerns, and regulatory
compliance—are at the forefront of industry thinking.
To be
effective, organizations must adopt data-driven approaches to risk management –
and that requires the right tools.
“There’s
only so much you can do with Excel,” Titley points out. “For small
organizations, you work with what you have. But for medium and larger firms,
investing in the right risk management systems is essential. You need real-time
insights to make informed decisions.”
AI, in
particular, is transforming how organizations monitor and manage risks. “Many
firms are already using AI to track trends across risk events, system issues,
and key indicators,” he says.
“Even tools
like ChatGPT can be useful for benchmarking and developing risk frameworks – though,
of course, you have to be careful. Feeding sensitive company data into an
open-source AI tool can land you in a whole heap of trouble.”
The
challenge, he explains, is striking a balance between innovation and control.
“AI is both a risk and an opportunity. It’s a powerful tool, but it needs human
oversight.
