Kenya Commercial Bank Limited is registered as a non-operating holding company which started operations as a licensed banking institution with effect from January 1, 2016. The holding company oversees KCB Kenya - incorporated with effect from January 1, 2016 - and all KCB's regional units in Uganda, Tanzania, Rwanda, Burundi, Ethiopia and South Sudan. It als...

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

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

Experience

Total Minimum No of Years Experience Required

4 Years

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

• 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.

• SQL
• R
• Python
• Supervised and Unsupervised Machine Learning Techniques

• Bachelor’s degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent combination of education and experience.
• Accounting, Finance, Internal Audit, Risk and Data science or related discipline qualifications e.g. CPA (K)/ ACCA/ CISA/ CIA/FRM or equivalent
• Master’s degree in Statistics / Actuarial Science/Data Science/MBA
• Hands-on lending model development, validation, independent model review or quantitative risk analytics.
• Relevant experience in audit.
• Data science/advanced analytics using Python, R, SQL, SAS or equivalent
• Banking/financial-services or auditing financial institutions experience
• Stakeholder Management