Online Reporter
Bheki Ndlovu
Bamidele Michael Omowole, a Nigerian banker with Infinity Microfinance Bank in Lagos, is fast emerging as a prominent voice in Africa’s push for stronger financial integrity.
Calm, measured, and deeply committed to the subject, he has drawn attention through his recent co-authored study, Enhancing Fraud Detection and Forensic Auditing Through Data-Driven Techniques for Financial Integrity and Security, published in the Journal of Advanced Education and Sciences on 17 December 2021.
The paper is already resonating in policy and professional circles because it highlights a problem reshaping economies from Lagos to Harare: fraud is becoming smarter and financial institutions must be smarter still.
“Our financial systems are becoming more digital every day,” Omowole explained. “That creates opportunities, but also exposes us to new forms of fraud. To stay ahead, we have to use tools like artificial intelligence, block chain and big data analytics because fraudsters are also using technology.”
His warning is well grounded in the realities confronting African banks. In Nigeria, the Nigeria Inter-Bank Settlement System (NIBSS) reported electronic fraud losses of ₦5 billion in 2020, nearly double the 2019 figure, driven by pandemic-related surges in online transactions. In Zimbabwe, the Reserve Bank of Zimbabwe (RBZ) flagged cyber-fraud as one of the fastest-growing risks to the financial system, estimating that by 2021 EcoCash accounted for around 75 percent of reported cases, from SIM-swap scams to bogus transaction reversals.
Omowole’s insights are sharpened by his role in the microfinance sector, where fraud is not abstract but part of daily operations.
“Microfinance institutions and mobile platforms are lifelines for ordinary people,” he observed. “But that also makes them attractive to fraudsters. If trust is broken, the whole system suffers.” His practical experience allows him to bridge global technological innovations with African realities.
The research he co-authored emphasises how technologies such as artificial intelligence (AI), machine learning (ML), blockchain, and robotic process automation (RPA) are transforming fraud detection. Traditional approaches — manual audits, whistle-blowing systems and static rule-based checks are too slow and reactive. Fraudsters adapt faster than such systems can respond. Data-driven methods, by contrast, aim to anticipate and prevent fraud before it occurs. Case studies in the study show the impact: one international bank using AI reduced fraudulent credit card transactions by 60 percent and detection times by 70 percent within the first year. “Imagine the impact if such systems were scaled across Africa,” Omowole remarked.
“We could protect millions of vulnerable customers and, at the same time, build investor confidence.”
For Zimbabwe, where mobile penetration reached 89 percent in 2020, the implications are particularly urgent.
Heavy reliance on digital platforms has made the country a prime target for fraudsters. In 2020, RBZ capped daily EcoCash transaction limits and tightened oversight of agent lines after widespread abuses. While necessary, these interventions showed how regulators struggle to keep pace.
Omowole’s recommendations, real-time monitoring, blockchain-backed transparency, and cross-sector collaboration provide a roadmap for Zimbabwean policymakers and banks seeking stronger defences.
Yet he insists that technology alone is not enough. “People must trust not only that fraud will be caught,” he argued, “but also that the systems making these decisions are fair and transparent.” For that reason, he is a strong advocate of explainable AI, which makes algorithmic processes visible and accountable. Transparency, he contends, is crucial for avoiding bias, reducing false positives, and maintaining public confidence.
His work connects African realities to global conversations. The African Union’s Agenda 2063 emphasises the importance of strong, transparent financial institutions, and Omowole points out how fraud undermines that vision. Zimbabwe’s experience with mobile money fraud illustrates how quickly trust can collapse, while Nigeria’s soaring fraud losses demonstrate the scale of the threat. His study shows that Africa is not only responding but also helping to shape international standards of financial integrity.
The research also explores emerging technologies that could redefine fraud prevention. These include federated learning, which enables banks to share intelligence without compromising sensitive data, and quantum computing, which one day could make real-time fraud detection possible on a global scale. “We can’t just solve for today’s fraud,” Omowole cautioned. “We have to prepare for the threats of tomorrow.”
This emphasis on preparation is especially relevant in Zimbabwe, where regulators must balance the need to encourage fintech innovation with the imperative to prevent systemic risks. The RBZ’s cautious but firm interventions in 2020 and 2021 mirror the dual priorities Omowole highlights: enabling growth while safeguarding integrity.
What sets him apart is his ability to combine academic rigour with practical banking insight. He recognises that advanced fraud detection systems demand significant investment and expertise, but views them as necessities rather than luxuries. For microfinance banks in Nigeria and mobile money platforms in Zimbabwe, the cost of inaction is measured not only in billions lost but in livelihoods destroyed.
As he reflected, Omowole returned to the human dimension. “It’s not just about technology,” he said. “It’s about protecting people’s livelihoods — from the pensioner in Lagos to the farmer in Harare. That’s why we must keep innovating.”
With professionals like Bamidele Michael Omowole leading the way, Africa is demonstrating that it is not merely reacting to fraud but actively redefining global financial integrity. His work proves that African solutions, rooted in local contexts, can shape international standards. For Zimbabwe, and for the continent as a whole, his story offers both a warning and an inspiration: fraud is evolving, but so too are the tools to defeat it.
