Audit Manager

KEY RESPONSIBILITIES:

• 
  
• Determine the internal audit scope for assigned areas and develop risk-based audit plans aligned with the Bank’s strategy, risk profile and Internal Audit methodology.
  
• Execute risk-based audits and provide independent assurance on the adequacy and effectiveness of governance, risk management and internal controls, including compliance with applicable policies, regulatory requirements and legislation.
  
• Perform independent reviews of lending models across the Bank, assessing model design and methodology, underlying assumptions, data, implementation, validation, performance monitoring and continued fitness for intended use.
  
• Assess the effectiveness of model risk governance, including model identification and inventory, ownership, development, independent validation, approval, implementation, change management, performance monitoring and management of model limitations.
  
• Apply appropriate quantitative and data science techniques to independently test and challenge models, including, where applicable, back-testing, benchmarking, sensitivity analysis, stability testing, calibration and model performance assessment.
  
• Apply advanced data analytics to audit engagements to interrogate large and complex datasets, identify anomalies and emerging risk patterns, assess control effectiveness and enhance audit coverage.
  
• Assess the adequacy of data used in models and key business processes, including data quality, completeness, accuracy, lineage and relevant data controls.
  
• Develop and communicate clear, evidence-based audit findings and recommendations, translating complex modelling and data-related matters into understandable risk and control implications for relevant stakeholders.
  
• Maintain effective stakeholder relationships and provide appropriate technical input and advisory support on risk management, internal controls, governance, model risk and data-related matters while safeguarding Internal Audit’s independence.
  
• Stay abreast of emerging developments in banking, regulation, model risk, data science, artificial intelligence and internal audit, and contribute to the enhancement of Internal Audit’s model-review and data-analytics capability.
  

MINIMUM POSITION QUALIFICATION REQUIREMENTS

Education:

• 
  
• Bachelor’s degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent combination of education and experience (Required)
  
• Master’s degree in Statistics, Actuarial Science, Data Science, or MBA (Added Advantage)
  
• Professional Qualifications: Accounting, Finance, Internal Audit, Risk and Data science or related discipline qualifications e.g. CPA (K), ACCA, CISA, CIA, FRM or equivalent (Added Advantage)
  

Experience:

• 
  
• Total minimum 4 years of experience required
  
• Hands-on lending model development, validation, independent model review or quantitative risk analytics: 4 years (Essential)
  
• Relevant experience in audit: 2 years (Desirable but not Essential)
  
• Data science/advanced analytics using Python, R, SQL, SAS or equivalent: 3 years (Essential)
  
• Banking/financial-services or auditing financial institutions experience: 3 years (Essential)
  
• Stakeholder Management: 2 years (Essential)
  

Technical Proficiency:

• 
  
• SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques (Required)
  

KEY RESPONSIBILITIES:

• 
  
• Determine the internal audit scope for assigned areas and develop risk-based audit plans aligned with the Bank’s strategy, risk profile and Internal Audit methodology.
  
• Execute risk-based audits and provide independent assurance on the adequacy and effectiveness of governance, risk management and internal controls, including compliance with applicable policies, regulatory requirements and legislation.
  
• Perform independent reviews of lending models across the Bank, assessing model design and methodology, underlying assumptions, data, implementation, validation, performance monitoring and continued fitness for intended use.
  
• Assess the effectiveness of model risk governance, including model identification and inventory, ownership, development, independent validation, approval, implementation, change management, performance monitoring and management of model limitations.
  
• Apply appropriate quantitative and data science techniques to independently test and challenge models, including, where applicable, back-testing, benchmarking, sensitivity analysis, stability testing, calibration and model performance assessment.
  
• Apply advanced data analytics to audit engagements to interrogate large and complex datasets, identify anomalies and emerging risk patterns, assess control effectiveness and enhance audit coverage.
  
• Assess the adequacy of data used in models and key business processes, including data quality, completeness, accuracy, lineage and relevant data controls.
  
• Develop and communicate clear, evidence-based audit findings and recommendations, translating complex modelling and data-related matters into understandable risk and control implications for relevant stakeholders.
  
• Maintain effective stakeholder relationships and provide appropriate technical input and advisory support on risk management, internal controls, governance, model risk and data-related matters while safeguarding Internal Audit’s independence.
  
• Stay abreast of emerging developments in banking, regulation, model risk, data science, artificial intelligence and internal audit, and contribute to the enhancement of Internal Audit’s model-review and data-analytics capability.
  

MINIMUM POSITION QUALIFICATION REQUIREMENTS

Education:

• 
  
• Bachelor’s degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent combination of education and experience (Required)
  
• Master’s degree in Statistics, Actuarial Science, Data Science, or MBA (Added Advantage)
  
• Professional Qualifications: Accounting, Finance, Internal Audit, Risk and Data science or related discipline qualifications e.g. CPA (K), ACCA, CISA, CIA, FRM or equivalent (Added Advantage)
  

Experience:

• 
  
• Total minimum 4 years of experience required
  
• Hands-on lending model development, validation, independent model review or quantitative risk analytics: 4 years (Essential)
  
• Relevant experience in audit: 2 years (Desirable but not Essential)
  
• Data science/advanced analytics using Python, R, SQL, SAS or equivalent: 3 years (Essential)
  
• Banking/financial-services or auditing financial institutions experience: 3 years (Essential)
  
• Stakeholder Management: 2 years (Essential)
  

Technical Proficiency:

• 
  
• SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques (Required)