Meet Temitope Fadairo, the Nigerian analyst reshaping how US banks think about their legacy systems problem

 

While much of the United States banking industry spent the last few years announcing artificial intelligence deployments, a Nigerian business analytics specialist working inside the US financial services sector was building a different case in the pages of a peer-reviewed journal. Her argument, now drawing attention across the US banking technology community, is that the industry is solving the wrong problem.

Fadairo Iyamu Temitope’s research paper, Next-Generation Financial Analytics: Integrating Scalable Technology Solutions for System-Wide Transformation in the United States Banking Sector, was published in November 2025. The paper is the product of several years of work examining how cloud-native infrastructure, predictive modelling and customer-centric analytics are reshaping American banking, and it arrives at an uncomfortable conclusion for an industry that has committed more than $110 billion to technology spending in 2025 alone, according to Deloitte’s most recent Banking and Capital Markets Outlook.

The conclusion, according to her, is that the headline transformation story is obscuring the real one. Noting, “The AI story is real, but it is not the story that will decide which US banks survive the next ten years,” she says. “The story that will decide it is the one nobody wants to tell: the legacy core banking systems, some of them written in COBOL in the 1970s, that still run the actual money. You cannot put a modern analytics layer on top of a forty-year-old ledger and call it transformation.”

That position is not a slogan. It is the spine of a body of work she has been developing since completing her Master of Science in Business Analytics at DePaul University’s Kellstadt Graduate School of Business in Chicago, a programme that placed her inside the American financial services discourse at exactly the moment it began wrestling with the integration crisis her paper now diagnoses. Accenture’s 2024 US banking technology report estimated that more than 40% of core banking infrastructure at major American institutions still runs on mainframe systems built before 1990. The Federal Reserve’s 2023 supervisory letter on operational resilience flagged legacy technology risk as a material supervisory concern. IBM’s 2024 Cost of a Data Breach Report placed the average cost of a financial services breach at $6.08 million, the highest of any sector. Temitope’s contribution is to connect those figures into a single analytical frame the industry has not yet built for itself.

What distinguishes her work in a field crowded with consultants and vendors is the bridge she occupies. Her professional practice spans business operations and analytics, business strategy and optimisation, account reconciliation, customer experience, and strategic thought leadership, a combination that places her at the intersection of the technical and governance sides of the problem she writes about. Few analysts working on US banking transformation carry that breadth across the operational stack. Fewer still bring to it the perspective of a practitioner trained across two financial systems, Nigerian and American, each of which has had to confront legacy infrastructure under different pressures.

Her paper advances three recommendations that cut against current industry instinct. First, that US banks adopt collaborative technology strategies, sharing non-competitive infrastructure investment across institutions rather than each bank rebuilding the same core capability in isolation. Second, that capital expenditure be redirected toward adaptive infrastructure designed for the next regulatory shift rather than the last one. Third, that governance frameworks, not algorithms, be treated as the primary asset of a digital-first bank.

It is the third recommendation she returns to most insistently. “Every serious failure in US banking technology over the last five years traces back to a governance gap before it traces to a technology gap,” she says. “The banks that will win the next decade are the ones that understand this. The ones still treating governance as a compliance cost rather than a competitive asset are going to be very surprised by what happens next.”

The framing is already earning her a hearing at a moment when the industry’s own numbers are making her case for her. McKinsey’s most recent US banking survey found that while 78% of executives described generative AI as a strategic priority, fewer than 20% reported a data foundation mature enough to support it at scale. “78% is the marketing number,” Temitope observes. “The 20% is the operational one. The difference between them is where the next wave of regulatory action and shareholder disappointment is going to happen. I do not think the industry has internalised that yet.”

Her willingness to say so publicly, in print, at a moment when most voices in her field are competing to amplify the AI narrative rather than complicate it, is what has begun to set her apart. She belongs to a small group of practitioner-analysts whose work is shaping how the next phase of US banking transformation will actually be built, and whose standing rests not on consultancy branding but on the rigour of the argument itself.

Asked what she would tell a US bank CEO preparing a 2026/2027 technology budget, her answer is characteristically direct. “Cut the AI announcement budget. Double the legacy modernisation budget. Hire a head of data governance before you hire another head of AI. And stop measuring transformation by how many pilots you have launched. Measure it by how many systems you have actually retired. That is the only number that means anything.”

For an industry still writing the press release for its own reinvention, it is the kind of intervention that, on the evidence of the last five years, it can no longer afford to ignore. And for Fadairo Iyamu Temitope, it is the opening chapter of a body of work the US banking sector is going to be reading for some time.