Fraud & Cybersecurity Analyst (Data & Investigation Focused)

Apply By: 14th, January 2026

Reports to: Senior Manager, Forensic & Investigation

Location: Head Office

The Fraud & Cybersecurity Analyst specializing in Data & Investigation is responsible for analyzing large datasets to detect fraudulent activities and cyber threats. This role involves conducting detailed investigations, leveraging data analytics, and applying forensic techniques to uncover security breaches and fraudulent schemes. The ideal candidate will have strong analytical skills, experience with data tools, and a methodical approach to investigations.

Responsibilities

•  Analysis of large datasets using data analysis tools
• Identification of suspicious and fraudulent transactions
• Investigation of irregular internal and external activities
• Conducting comprehensive staff and third-party background checks
• Identification of revenue leakage loopholes and control weaknesses
• Support in recovery actions and reporting
• Collect, analyze, and interpret large volumes of data to identify patterns indicative of fraud or cybersecurity threats.
• Conduct detailed investigations into suspicious activities, data breaches, and fraud cases to determine scope and impact.
• Develop and utilize data models, dashboards, and reports to monitor anomalies and security incidents.
• Maintain logs and documentation of investigation processes and findings for audit and compliance purposes.
• Identify vulnerabilities in data management processes and recommend improvements to prevent future incidents.
• Stay informed about emerging fraud schemes, cyber threats, and investigation methodologies.
• Prepare detailed reports, presentations, and recommendations for stakeholders and senior management.

Qualifications

• Bachelor’s degree in data science, Computer Science, Cybersecurity, Forensic Science, or related field.
• 3–5 years’ hands-on experience in financial fraud analysis within a banking or financial services environment.
• Strong analytical and investigative skills
• Experience with data analysis tools and transaction monitoring systems
• Excellent report writing and presentation skills