Job Purpose:

Responsible for leading the development and execution of data driven audit techniques to enhance the Internal Audit Department's ability to provide risk focused and technology enabled assurance across the bank.

Main Responsibilities:

• Lead the design of analytics scripts, dashboards, and automated routines to support audit planning, fieldwork, and reporting.
• Supporting Internal Audit Management in the implementation of Internal Audit strategy on Data Analytics, robotics (AI) and continuous auditing of critical bank's processes, providing insights into risk management, compliance, and operational efficiency.
• Develop predictive analytics models that enhance identification of unusual patterns, exceptions, emerging risks, and potential fraud across banking operations.
• Build and maintain continuous audit and continuous monitoring frameworks aligned to high risk areas (e.g., credit operations, payments, digital channels, regulatory compliance).
• Improve audit efficiency by introducing innovative tools and automation opportunities (e.g., Python-based analytics, SQL routines, BI dashboards).
• Partner with audit teams to define data requirements and analytical procedures for planned audits to enhance audit quality and effectiveness.
• Provide insights that strengthen audit findings, root-cause analysis, sampling strategies, and thematic reviews.
• Support special audits, and forensic investigations with advanced analytics.
• Lead the development and execution of data analytics and ICT audit strategy in alignment with the Internal Audit departments goals.
• Provide leadership, mentoring, and guidance to the data analytics and audit team, fostering a culture of continuous improvement and innovation.
• Work closely with IT, business units, and external stakeholders to ensure understanding of business processes and access to relevant data and systems.
• Communicate complex data findings and audit results to non-technical stakeholders, providing actionable recommendations.
• Present analytical results to senior management in concise, visual, and impactful formats (Power BI dashboards, automated reports, etc.).
• Stay current with emerging trends and best practices in data analytics and audit methodologies and recommend enhancements to the Bank's audit analytics framework.
• Evaluate and recommend new data analytics tools, technologies, and methodologies to enhance the audit function.
• Ensure analytics methodologies, scripts, and workpapers adhere to relevant standards and regulations.
• Maintain strong data governance practice by ensuring accuracy, integrity, and confidentiality of Bank data.
• Prepare and present clear, concise, and insightful audit reports and dashboards to management.
• Maintain accurate records of data sources, methodologies, and analysis to support audit conclusions.

Knowledge and Skills:

Business understanding of core banking processes, Audit cycle and framework, Enterprise-Wide Risk Management, IA best practices, with knowledge of Internal Audit standards issued by the Institute of Internal Auditors.

Technical

• Excellent knowledge of internal audit practice in the Bank
• Proficiency in data analytics tools such as ACL, IDEA, SQL, Python, R, or similar.
• Strong understanding of data visualization tools like Tableau, Power BI, or similar.
• Experience with Core Banking Systems, databases, and other related payment systems.

Behavioral

• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Strong project management skills, with the ability to manage multiple priorities and meet deadlines.
• High level of integrity and professionalism with a commitment to quality and continuous improvement.

Qualifications and Experience:

• Bachelor's degree in Accounting, Finance, Computer Science, Data Science, or related fields.
• Professional certifications (e.g., CIA, CISA, CPA, ACCA) preferred.
• Minimum of 4 years' experience in internal/external audit, data analytics, or related field with leadership experience in leading data analytics initiatives.
• Experience in developing and implementing data analytics methodologies within an audit function is highly desirable.

NMB Bank Plc is an Equal Opportunity Employer. We are committed to creating a diverse environment and achieving gender balanced workforce.

Female candidates and people living with disabilities are strongly encouraged to apply for this position.

NMB Bank Plc does not charge any fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.

Only shortlisted candidates will be contacted.

• Lead the design of analytics scripts, dashboards, and automated routines to support audit planning, fieldwork, and reporting.
• Supporting Internal Audit Management in the implementation of Internal Audit strategy on Data Analytics, robotics (AI) and continuous auditing of critical bank's processes, providing insights into risk management, compliance, and operational efficiency.
• Develop predictive analytics models that enhance identification of unusual patterns, exceptions, emerging risks, and potential fraud across banking operations.
• Build and maintain continuous audit and continuous monitoring frameworks aligned to high risk areas (e.g., credit operations, payments, digital channels, regulatory compliance).
• Improve audit efficiency by introducing innovative tools and automation opportunities (e.g., Python-based analytics, SQL routines, BI dashboards).
• Partner with audit teams to define data requirements and analytical procedures for planned audits to enhance audit quality and effectiveness.
• Provide insights that strengthen audit findings, root-cause analysis, sampling strategies, and thematic reviews.
• Support special audits, and forensic investigations with advanced analytics.
• Lead the development and execution of data analytics and ICT audit strategy in alignment with the Internal Audit departments goals.
• Provide leadership, mentoring, and guidance to the data analytics and audit team, fostering a culture of continuous improvement and innovation.
• Work closely with IT, business units, and external stakeholders to ensure understanding of business processes and access to relevant data and systems.
• Communicate complex data findings and audit results to non-technical stakeholders, providing actionable recommendations.
• Present analytical results to senior management in concise, visual, and impactful formats (Power BI dashboards, automated reports, etc.).
• Stay current with emerging trends and best practices in data analytics and audit methodologies and recommend enhancements to the Bank's audit analytics framework.
• Evaluate and recommend new data analytics tools, technologies, and methodologies to enhance the audit function.
• Ensure analytics methodologies, scripts, and workpapers adhere to relevant standards and regulations.
• Maintain strong data governance practice by ensuring accuracy, integrity, and confidentiality of Bank data.
• Prepare and present clear, concise, and insightful audit reports and dashboards to management.
• Maintain accurate records of data sources, methodologies, and analysis to support audit conclusions.

• Excellent knowledge of internal audit practice in the Bank
• Proficiency in data analytics tools such as ACL, IDEA, SQL, Python, R, or similar.
• Strong understanding of data visualization tools like Tableau, Power BI, or similar.
• Experience with Core Banking Systems, databases, and other related payment systems.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Strong project management skills, with the ability to manage multiple priorities and meet deadlines.
• High level of integrity and professionalism with a commitment to quality and continuous improvement.

• Bachelor's degree in Accounting, Finance, Computer Science, Data Science, or related fields.
• Professional certifications (e.g., CIA, CISA, CPA, ACCA) preferred.
• Minimum of 4 years' experience in internal/external audit, data analytics, or related field with leadership experience in leading data analytics initiatives.
• Experience in developing and implementing data analytics methodologies within an audit function is highly desirable.