Job Purpose:

To drive the design, implementation, and management of continuous auditing and data analytics programs within the Internal Audit function. This role enhances audit effectiveness by leveraging technology, data analytics, and automation to deliver timely, risk-based insights, and improve assurance coverage in a fast-scaling, digitally transforming bank.

Key Responsibilities:

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.

Academic Qualifications & Experience:

• 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.

• 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.
• 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.
• 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.
• 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.

• Data Analytics
• Continuous Auditing
• Automation
• Dashboard Development
• Risk Management
• Control Systems
• Audit Planning
• Audit Fieldwork
• Audit Reporting
• IT Collaboration
• Risk Collaboration
• Business Unit Collaboration
• Analytics Tools (ACL, Power BI, SQL, Python)
• Emerging Audit Technologies (AI, RPA, ML)
• Predictive Analytics
• Prescriptive Analytics
• Digital Transformation
• Internal Audit
• Banking/Financial Services/Technology Audit

• Bachelor’s degree in accounting, Finance, Information Systems, Computer Science, or related field.
• Master’s degree in Data Analytics, Audit, or Business Administration (added advantage).
• Certified Internal Auditor (CIA) or CPA/ACCA (mandatory).
• CISA, CRMA, or Data Analytics Certification (e.g., ACL Certified Data Analyst, Power BI Certification) (preferred).