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An assessment of fraud risk mitigation strategies on loss prevention in banking: a case study of Fidelity Bank Nigeria

  • Project Research
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  • NGN 5000

Background of the Study
In the face of evolving cyber threats and sophisticated fraud techniques, effective fraud risk mitigation is paramount for ensuring financial stability in banking. Fidelity Bank Nigeria has implemented a range of fraud risk mitigation strategies, including advanced fraud detection software, real-time monitoring systems, and comprehensive internal control mechanisms (Adeyemi, 2023). These strategies are designed to identify and prevent fraudulent activities before they result in significant financial losses. The theoretical framework for this initiative is based on risk management and cybersecurity theories, which highlight the importance of proactive defense mechanisms in minimizing exposure to fraud. Fidelity Bank’s approach integrates technological solutions with robust human oversight, ensuring that potential fraud is detected swiftly and accurately. Empirical research indicates that banks that invest in advanced fraud mitigation strategies typically experience lower loss ratios and improved customer trust (Chinwe, 2024).

The bank’s comprehensive strategy includes continuous system updates, regular staff training, and the integration of predictive analytics to forecast emerging fraud patterns. These measures contribute not only to loss prevention but also to enhancing overall operational resilience. However, challenges such as integration issues with legacy systems and occasional false-positive alerts can impede the effectiveness of these strategies. The balance between stringent fraud controls and maintaining customer convenience remains a critical issue. This study aims to assess the effectiveness of fraud risk mitigation strategies at Fidelity Bank Nigeria in preventing losses, examining both quantitative loss data and qualitative insights from operational staff, to determine the key factors that drive success and to identify areas for further improvement (Okoro, 2025).

Statement of the Problem
Despite substantial investments in fraud risk mitigation, Fidelity Bank Nigeria continues to incur losses due to fraudulent activities. While advanced detection systems have enhanced the bank’s ability to identify fraud, integration challenges with older legacy systems sometimes result in delayed responses, allowing certain fraudulent transactions to slip through (Olu, 2023). Moreover, the reliance on automated systems occasionally leads to high false-positive rates, which disrupt normal operations and may erode customer confidence. Additionally, evolving fraud techniques necessitate continuous updates to mitigation strategies, and any lag in updating these systems creates vulnerabilities. The complexity of balancing rigorous fraud controls with seamless customer experience further compounds the issue, as overly stringent measures may impede legitimate transactions and lead to customer dissatisfaction. These operational challenges highlight a significant gap between the theoretical effectiveness of fraud mitigation strategies and their practical implementation. The study seeks to explore the root causes of these discrepancies by examining both technological and human factors, with the aim of proposing actionable recommendations that can enhance the effectiveness of fraud risk mitigation strategies and reduce financial losses (Emeka, 2024).

Objectives of the Study
• To assess the effectiveness of fraud risk mitigation strategies on loss prevention at Fidelity Bank Nigeria.
• To identify challenges related to system integration and false-positive alerts.
• To recommend strategies for optimizing fraud mitigation and reducing financial losses.

Research Questions
• How effective are current fraud risk mitigation strategies in preventing losses at Fidelity Bank Nigeria?
• What are the key challenges in integrating advanced fraud detection systems with legacy platforms?
• How can fraud mitigation strategies be optimized to minimize false positives and enhance loss prevention?

Research Hypotheses
• Advanced fraud mitigation strategies are positively correlated with reduced financial losses.
• Integration challenges between new and legacy systems negatively impact fraud prevention effectiveness.
• Regular system updates and staff training improve the overall effectiveness of fraud risk mitigation.

Scope and Limitations of the Study
This study focuses on fraud risk mitigation practices at Fidelity Bank Nigeria over the past three years. Limitations include access to sensitive internal data and rapidly changing fraud techniques.

Definitions of Terms
• Fraud Risk Mitigation Strategies: Techniques and technologies used to detect and prevent fraudulent activities.
• Loss Prevention: Efforts to minimize financial losses due to fraud.
• False Positives: Incorrect alerts that identify legitimate transactions as fraudulent.





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