Audit Manager – Continuous Audit & Analytics

• Bachelor’s degree in accounting, Finance, Information Systems, Computer Science, or related field.
  
• A master’s degree in data Analytics, Audit, or Business Administration is an added advantage.
  
• Minimum of 7 years’ experience in internal audit, with at least 3 years in data analytics or continuous audit roles.
  
• Proven experience in banking, financial services, or technology audit environments.
  
• Demonstrated ability to integrate data analytics into audit processes and lead technology-driven initiatives
  

Professional Certifications

• Certified Internal Auditor (CIA) or CPA/ACCA (mandatory).
  
• CISA, CRMA, or Data Analytics Certification (e.g., ACL Certified Data Analyst, Power BI Certification) preferred.
  

Continuous Audit and Data Analytics

• Develop and implement a continuous auditing framework integrated with the Bank’s risk management and control systems.
  
• Utilize data analytics tools to identify anomalies, trends, and emerging risks across business lines.
  
• Automate recurring audit tests for high-risk and high-volume processes (e.g., loan origination, transaction monitoring, digital banking).Build and maintain dashboards to track key risk indicators (KRIs) and audit exceptions.
  
• Integrate analytics into all stages of the audit cycle — planning, fieldwork, and reporting.
  

Audit Execution and Reporting

• Support audit teams with data-driven insights to enhance audit quality and efficiency.
  
• Perform thematic risk assurance reviews using data analytics to identify control gaps.
  
• Present findings and visualization dashboards to management, ensuring actionable recommendations.
  
• Contribute to the preparation of Board and Audit Committee reports on analytics-driven assurance outcomes.
  

Collaboration and Capacity Building

• Work with IT, Risk, and Business units to ensure access to quality data sources for analytics.
  
• Train audit teams in the use of analytics and visualization tools (ACL, Power BI, SQL, Python, etc.).
  
• Promote a data-driven audit culture within the function.
  

Innovation and Process Improvement

• Continuously explore and implement emerging audit technologies (AI, RPA, ML) for risk monitoring.
  
• Recommend improvements to business processes through predictive and prescriptive analytics.
  
• Participate in digital transformation initiatives to ensure controls are embedded in automated systems.