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A Sophisticated Approach to Data Will Be Key to Open Finance’s Success

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A Sophisticated Approach to Data Will Be Key to Open Finance’s Success

By Tom Bull, UK FinTech Growth Leader, EY

 

 

 

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Unlocking the value of open finance will ultimately come down to how newly accessible data is used; for many banks, this will require a whole new approach.

Open banking is transforming financial systems internationally. Allowing consumers and businesses to share their bank-account data securely with other institutions and authorise direct account-to-account payments opens up a broad array of new products and services that will increase competition. More than 70 countries are now on a path to open banking, including the United States, which has traditionally taken a market-led approach to customer-data sharing.

Consumers are taking notice. In the United Kingdom, for example, more than one million people paid their self-assessment tax bills using open banking in the year to January 2024, up from 140,000 the previous year.1

Today, open finance represents an expansion of open banking’s capabilities, broadening the potential datasets beyond bank accounts to include a wider range of financial products, such as investments, pensions and mortgages, all personalised and often cheaper.

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Consumer demand for products based on these new capabilities is strong. Research conducted by EY (Ernst & Young) and The Investing and Saving Alliance (TISA) found that 90 percent of consumers would be likely to use open finance-based dashboard applications that provide a consolidated view of their finances.2 The innovation is also relevant to small and medium-sized enterprises (SMEs), providing support as they manage their cashflows and connect banking data to cloud accounting packages.

However, implementing and adapting to open banking and open finance is a huge task for banks. As customers gain greater control of their financial data and can share it more freely, banks need to ensure they continue to adhere to the same high security standards.

This is a profound shift for banks, which have traditionally built their systems solely to ensure customer data is protected without giving much consideration to interoperability. Maintaining high levels of protection while allowing data to be shared represents a major change in approach.

So, seizing the opportunities that open finance presents could be transformative for banks, and for those that can successfully navigate the risks, the upside is enormous. Inaction from banks will only serve to heighten competition from technology firms with presences in the financial-services space.

Building for the future

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Taking advantage of open finance requires banks to fundamentally change their approaches to data. Today, operations across many banks are underpinned by legacy, closed-architecture systems that were never designed for easy integration with third parties.

Simply maintaining the status quo requires huge amounts of work. EY research indicates that financial institutions currently spend up to 65 percent3 of their information technology (IT) budgets on maintaining current systems rather than innovating and developing new propositions.

These legacy platforms and processes constrain agility, hindering banks’ ability to get products to market and stay ahead of evolving customer needs.

To set themselves up for success, banks need to invest in areas more typically associated with technology platforms. This includes prioritising areas that may be unfamiliar, such as:

  • Application programming interface (API) channels that are fast, secure and reliable, making it easy to connect with other companies and share customer data (with permission). Speed is crucial here, as fast response times are critical for smooth user experiences, especially for products that aggregate data from many sources in one place.
  • Great developer experience to encourage others to engage with the bank’s API. This requires building easy-to-use software development kits (SDKs), as well as providing documentation, tools and community support for developers.
  • A commercial model underpinning the bank’s open banking strategy that recognises the needs of both the bank itself and the companies that hope to partner with it. This should be driven by a strong sales organisation that can actively promote the bank’s API to potential partners and drive usage.

As open finance gains momentum, banks and other financial institutions will be required to handle a far greater volume of data than ever before. By taking the necessary steps to improve their data infrastructures, they will be better positioned to succeed in the future.

Looking at data in new ways

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Open finance creates a novel situation for banks, enabling them to become consumers of datasets to which they have never had access before. This presents opportunities to launch new product offerings and engage with customers in new ways, as long as they are able to access, utilise and exploit the new data fully.

Many of these opportunities revolve around new ways to gain a better understanding of existing customers by using new data sources to build more complete views of their overall financial pictures.

An enhanced data picture can also make it possible to offer a wider range of products to existing customers. For example, an estimated five million people in the UK are currently considered “thin-file”, meaning they have little or no credit history.4 For people in this group, accessing loans can be prohibitively expensive or even impossible, even if they earn a good wage and are financially responsible.

Open finance allows banks to view a wider array of data sources to assess creditworthiness—for example, transaction data to understand spending patterns and budgeting. This has the potential to open up access to credit to a much broader population.

Adaptation will be a three-step process

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The possibilities offered by open finance are expansive and can be overwhelming. Banks need to be selective about the use cases and customer segments they target. With this in mind, adapting should be approached as a three-step process.

The first step is screening. A bank should take the time to understand the new capabilities on offer, not just through access to new data sources but also regarding its ability to trigger payments from within a customer’s account, bypassing traditional payment gateways and networks.

These capabilities and the new data sources available should then be screened for commercial-opportunity size, operational complexity and the priorities of the business unit, as well as the costs and technical complexity of deployment.

Having built a shortlist, the next step is to begin building out business cases and testing the propositions with customers to test demand and refine the offering.

The challenge during this phase is striking the right balance between protecting existing business lines against cannibalisation while simultaneously testing potentially transformative products. Pay-by-bank payments, for example, have the potential to cannibalise revenues from card payments, but banks must be willing to disrupt their own business models before someone else does.

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As new products are developed and brought to market, the third step, customer education, will be key. People will not use financial products if they do not understand the benefits, so banks must enable customers to understand how these new capabilities can improve their financial lives.

Open finance should be seen as an opportunity for banks to engage more deeply with their customers and serve them in better ways. Harnessing it will require an evolution in approach but could unlock incredible growth for the banks that embrace it.

 

References

1Open Banking: “Adoption Analysis: Open Banking Penetration,” March 2024, UK Open Banking Impact Report.

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2 The Investing and Saving Alliance (TISA): “TISA-EY Open Finance Report 2022.”

3 The Paypers: Open Finance Report 2023: “The Open Revolution: From Open Banking to Open Finance,”November 2023.

4 Experian: “How additional data sources can help to reduce the invisibles population,” April 2023.

 

 

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ABOUT THE AUTHOR

Tom Bull is a financial-services Partner at EY, specialising in the financial-technology space. Tom heads up EY’s UK FinTech Growth team, supporting clients to innovate and expand their businesses. Tom joined EY more than 20 years ago and is a graduate of the University of Warwick.

 

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The Most Innovative People in Finance 2026

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The Most Innovative People in Finance 2026
Enjoy complimentary access to top ideas and insights — selected by our editors.
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Banking has entered a new phase of transformation that has the potential to remake large swaths of the industry. For much of the past decade, innovation was often framed around modernization efforts such as upgrading legacy systems, improving digital channels, or experimenting with emerging technologies through pilots and limited deployments. Now, the institutions pulling ahead competitively are distinguished by their willingness to explore innovation early and their ability to operationalize it at scale and translate it into measurable business outcomes.

Across the industry, innovation is beginning to reshape the economics and competitive structure of financial services in more tangible ways. Revenue models are evolving. Operational costs are being reconfigured through the strategic integration of artificial intelligence, cloud computing and blockchain. That, in turn, is fundamentally changing how capital is allocated. Risk management is becoming more data driven, predictive and automated. Customer expectations around speed, personalization and accessibility continue to rise as the instant-everything culture takes hold. 

What makes the current cycle particularly significant is that several major technology shifts are unfolding simultaneously and beginning to intersect. AI, real-time payments, digital assets, tokenization, cloud-native infrastructure, embedded finance, and programmable financial systems are increasingly reinforcing one another and revamping how financial institutions operate, deliver services and compete.

These factors compelled American Banker to launch The Most Innovative People in Finance, a new annual ranking that recognizes the top 50 individuals who are driving these massive waves of digital transformation—producing measurable results, shoring up their competitive positions, opening new markets, and, in some cases, redefining the industry.

Leading this year’s list is #1-ranked Vantage Bank CEO Jeff Sinnott for the launch of the U.S.’s first bank-issued stablecoin; followed in the top five spots by Custodia Bank CEO Caitlin Long (#2) for the debut of a tokenized deposit network for community banks; Goldman Sachs CIO Marco Argenti (#3) for developing and deploying the firm’s widespread internal use cases for agentic AI; TD Bank SVP and Chief AI Scientist Maksims Volkovs (#4) for the development of its predictive foundation AI model; and Anchorage Digital CEO Nathan McCauley (#5) for becoming the issuer of Tether’s U.S.-regulated stablecoin USA₮.

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The methodology used to select the 50 individuals is based on quantitative and qualitative factors encompassing leadership, investment in technology innovation, and number, size and impact of digital transformation initiatives over a single year (2025) and three-year time horizon, including internal cost efficiency gains and/or new revenue generation, and, where applicable, impact on the industry. American Banker also considered the role that the individual played in driving digital transformation initiatives in 2025, percentage of technology budget allocated to new innovation projects, products and initiatives, specific funding amount allocated to digital transformation initiatives annually, acquisitions and partnerships initiated to advance the bank’s innovation, impact on creating an internal culture of innovation, and number of patents held in their name.

Why does recognition of outstanding leadership in innovation matter now more than ever? 

Consider that AI sits at the center of much of the transformative change—with advanced forms of AI increasingly coordinating workflows, monitoring transactions in real time, supporting liquidity management, identifying anomalous behavior, and assisting with operational decision-making across multiple functions simultaneously. 

At the same time, the movement and representation of value itself is changing, with stablecoins, tokenized deposits, blockchain-based settlement systems, and digital-asset infrastructure evolving from experimentation into broader commercial use cases. 

As such, real-time payment networks, richer transaction data standards, embedded financial services, and intelligent payment routing are transforming payments into a central layer of customer engagement and commercial activity. 

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Underpinning many of these developments is a broader modernization of banking infrastructure. Cloud-native architecture, API-driven platforms, and modular technology environments are driving adaptability, data accessibility, ecosystem connectivity, and the ability to integrate intelligence directly into operational workflows. 

This period of structural change is altering the competitive dynamics of the industry, requiring leadership that understands when to invest, where to modernize, which risks are worth taking and how to aggressively reposition their institutions for the future. 

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Crypto’s 24/7 Derivatives Era Is Forcing Traditional Finance To Adapt

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Crypto’s 24/7 Derivatives Era Is Forcing Traditional Finance To Adapt

Crypto has always traded on a different clock. Bitcoin does not close for weekends, liquidity does not pause for holidays, and leverage does not wait for clearing desks to reopen on Monday morning. For years, that difference helped separate crypto-native venues from regulated financial infrastructure.

That separation is narrowing. CME Group said its regulated cryptocurrency futures and options will be available for 24-hour, seven-day trading beginning May 29, pending regulatory review, with trading continuing on CME Globex except for a weekly maintenance window. The move is more than an operational extension. It is a sign that traditional finance is being pulled toward the market structure crypto normalized first.

The harder question is not whether institutions can trade crypto around the clock. They already can, through offshore venues, prime brokers, market makers, and liquidity providers. The harder question is whether regulated finance’s clearing, custody, surveillance, privacy, and risk systems can operate in markets where leverage, information, and volatility never really switch off.

Crypto’s 24/7 derivatives era is not simply making digital assets look more institutional. It is forcing traditional finance to become more continuous.

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Derivatives are becoming crypto’s institutional layer

The center of gravity in crypto markets has been moving away from simple spot trading for years. Spot markets still matter, especially for retail flows, exchange liquidity, and ETF-related demand. But derivatives are where much of the institutional market now expresses risk, hedges exposure, prices volatility, and manages leverage.

That shift is visible in the data. CCData’s January 2026 Exchange Review reported combined centralized exchange volumes of $5.26 trillion, while spot trading accounted for $1.27 trillion. The implication is clear: derivatives represented the majority of centralized exchange activity that month.

This matters because derivatives do not just reflect price discovery. In crypto, they increasingly shape it. Futures, perpetual swaps, and options influence liquidity, funding rates, volatility expectations, and institutional positioning. When derivatives become the dominant venue for market expression, trading hours become less a convenience issue and more a structural one.

That is why CME’s move is significant. Regulated access is no longer just about listing a bitcoin or ether contract. It is about matching the operating rhythm of the asset itself.

CME also said client demand for digital asset risk management helped drive a record $3 trillion in notional cryptocurrency futures and options volume in 2025. That is not a fringe market asking for extended access. It is a regulated derivatives marketplace responding to institutional demand for more continuous risk management.

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Continuous trading still runs into legacy settlement

The tension is that continuous execution does not automatically mean continuous settlement. CME’s model extends trading access, but it still preserves familiar institutional mechanics. Weekend and holiday trades are assigned the next business day’s trade date, and clearing, settlement and regulatory reporting continue to flow through the next business day framework.

That is the bridge traditional finance is trying to build: crypto-speed execution on top of regulated market infrastructure. It is a practical compromise, but also a revealing one. Crypto markets solved for continuous trading first and institutional controls second. Traditional finance is trying to do the reverse.

There are good reasons for that. Regulated derivatives markets cannot simply discard reporting obligations, margin discipline, risk controls, and clearing protocols. Their value proposition is precisely that institutions can trade within a transparent, supervised framework.

But always-on markets compress the time available to react. A move that happens on a Sunday morning can affect collateral needs, counterparty exposures, hedge ratios, and liquidity conditions before traditional workflows fully resume. In that environment, operational readiness becomes part of market structure.

The next competitive edge may not be who lists the product first. It may be who can monitor risk, margin exposure, custody flows, and compliance exceptions in real time without weakening the controls institutions rely on.

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Transparency becomes a risk surface

Crypto’s always-on design also introduces a second challenge: information moves continuously too. Public blockchains make settlement visible, auditable, and difficult to falsify. That can reduce certain intermediary risks. But the same transparency can expose flows that businesses would normally treat as confidential.

“It does both simultaneously,” said Natalie Newson, Senior Blockchain Investigator at CertiK, when asked whether public blockchain transparency reduces systemic risk or creates new attack surfaces. “Settlement finality is also publicly auditable,” she said, but “front-running and MEV are persistent issues in blockchain.”

That duality is central to the institutional adoption question. Public auditability is useful when markets need trust in settlement. It is less straightforward when market participants reveal treasury movements, collateral positioning, payroll flows, or supplier payments in real time.

Newson framed the business risk directly. “If your treasury wallet is known, and on-chain, it eventually becomes known, counterparties, suppliers, and competitors can watch your liquidity position in real time,” she said.

For trading firms, that visibility can affect execution. For corporations, it can expose working capital strategy. For institutions, it can turn settlement infrastructure into a source of market intelligence for competitors. In a 24/7 derivatives environment, information leakage does not wait for office hours either.

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This is where the conversation moves beyond cybersecurity. The issue is not just hacks, exploits, or smart contract vulnerabilities. It is whether an always-on financial system can protect commercially sensitive behavior while preserving the auditability that makes blockchain infrastructure useful in the first place.

Privacy is becoming part of market infrastructure

The early crypto argument treated transparency as a feature. That was true for open monetary networks and early DeFi systems, where public verification helped establish trust. But what works for a speculative or experimental market does not automatically work for enterprise finance.

“Transparency becomes a structural constraint the moment a business tries to use blockchain for real operations,” said Varun Kabra, Chief Growth Officer of Concordium. “Payroll, supplier contracts, treasury flows, pricing structures, these are not marketing data points.”

That is the institutional bottleneck hiding inside the 24/7 trading conversation. It is not enough for markets to stay open. The systems around those markets need ways to prove identity, authorization, eligibility, and compliance without exposing more information than necessary.

Kabra’s broader point is that the next phase of adoption depends on combining privacy with accountability. “The next phase of adoption won’t come from arguing with regulators,” he said. “It will come from building systems where privacy and accountability coexist by design.”

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That logic is already moving beyond financial markets. Concordium’s partnership with the Danish Ice Hockey Union includes a Verified Fan Programme using zero-knowledge proofs and an Agentic Commerce initiative around verified AI agents, showing how users or automated agents could prove access rights or authorization without disclosing unnecessary personal data.

The sports example is not the point. The infrastructure pattern is. As markets become more automated and more continuous, identity and selective disclosure become part of the same control stack as margining, custody, and surveillance.

Traditional finance is learning to operate on crypto’s clock

The obvious reading of CME’s 24/7 move is that crypto is becoming more institutional. That is true, but incomplete. The more interesting reading is that traditional finance is beginning to adopt pieces of crypto-native market structure because client demand, volatility, and liquidity have already moved in that direction.

This does not mean regulated finance will become decentralized. It will not. Institutions still need clearinghouses, custodians, reporting systems, market surveillance, and legal accountability. What changes is the cadence. Risk systems that were designed around market closes and business-day workflows will need to function in a market where exposure changes continuously.

That transition will not happen all at once. Execution hours can expand faster than settlement systems. Trading access can move faster than compliance architecture. Liquidity can move faster than privacy standards. The result is a hybrid market structure: crypto assets trading on a crypto clock, through increasingly regulated venues, with traditional finance rebuilding its control layer around a more continuous environment.

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For investors, this means crypto derivatives are becoming more than a trading product. They are becoming the test case for how legacy market infrastructure adapts to always-on finance.

The next phase of institutional crypto adoption will not be defined only by which assets get listed or which venues gain market share. It will be defined by whether the financial system can manage risk, identity, privacy, and settlement at the speed crypto markets already demand.

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New financial grades raise concerns about colleges’ long-term stability

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New financial grades raise concerns about colleges’ long-term stability

RALEIGH, N.C. (WTVD) — Families are navigating the already stressful college planning process, and a new set of financial grades is prompting many to look more closely at the stability of the schools they are considering.

Forbes’ annual financial report card for private, nonprofit colleges and universities is putting a spotlight on how well schools can manage their finances. The rankings are based on each institution’s ability to cover immediate expenses with cash on hand — a measure that is increasingly resonating with parents.

In the Triangle, the grades vary widely. Duke University received an A+, while Meredith College earned a B-. Shaw University was rated C-, and Saint Augustine’s University received a D.

For families, those grades are becoming an important part of the decision-making process, alongside academic and campus life.

“This college experience is much more than the books and the tuition,” Wake Forest parent Meranda Van Ningen said.

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Van Ningen said a school’s financial condition is now a key factor as she — and many other parents — evaluate long-term value and security.

“We had to really lean in and ask the questions, make sure that we were getting the answers we appreciated,” she said. “They want us. They want our money to come in and to pay for that next year.”

She said the financial grades offer insight into how well schools can navigate economic challenges.

“Show that they can handle this tough, tough economy, to be honest, and that they know how to roll with it because campuses have good years and bad years as well,” Van Ningen said.

Financial planners say that shift in focus is well-founded, especially as some colleges across the country face financial strain or closure.

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“A lot of smaller colleges are closing throughout the country,” said Gray Pendleton, president of Pendleton Financial. “I think it’s important to look at the financial health of the school.”

Experts say the added scrutiny reflects the high stakes of higher education, often one of the largest investments a family will make. Along with reviewing financial grades, they encourage families to thoroughly research institutions before committing.

They also stress the importance of early financial preparation to manage rising costs.

“Even like, $10 to $100 a month,” Pendleton said. “The NC 529 savings plan is great. And that’s an aggressive, age based plan. That’s a good opportunity.”

As financial grades draw more attention, families are increasingly weighing not just where students will thrive academically, but also which schools are best positioned to remain financially secure over the long term.

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