KEY RESPONSIBILITIES: MUST NOT BE MORE THAN 10

• 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

1. Academic & Professional

Particulars Detail Specific Field or Qualification Need Type [1] Education  Bachelor’s degree Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent combination of education and experience. RQ Professional Qualifications Accounting, Finance, Internal Audit, Risk and Data science or related discipline qualifications e.g. CPA (K)/ ACCA/ CISA/ CIA/FRM or equivalent AA Master’s degree Statistics / Actuarial Science/Data Science/MBA AA Proficiency Tools, languages and techniques SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques. RQ

1. Experience

Total Minimum No of Years Experience Required

4

Detail Minimum No of Years Need Type Hands-on lending model development, validation, independent model review or quantitative risk analytics. 4 ES Relevant experience in audit. 2 DE Data science/advanced analytics using Python, R, SQL, SAS or equivalent 3 ES Banking/financial-services or auditing financial institutions experience 3 ES Stakeholder Management 2 ES

 

[1]  Need Types are : RQ = Required, AA = Added Advantage

[2]  Need Types are: ES = Essential, DE = Desirable but not Essential