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
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
Total Minimum No of Years Experience Required
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