Audit Manager

About the role

KCB Bank is hiring a full-time Audit Manager in Nairobi. The role leads audit analytics, data-driven audits and risk assessments, and sits within the bank's Internal Audit function. The employer is listed as Corporate Staffing Services.

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 give independent assurance on governance, risk management and internal controls, including compliance with policies, regulations and legislation.
• Review lending models across the bank, assessing design, methodology, assumptions, data, validation, performance monitoring and fitness for purpose.
• Assess model risk governance, including identification, ownership, development, validation, approval, implementation, change management and limitations.
• Apply quantitative and data science techniques such as back-testing, benchmarking, sensitivity analysis, stability testing and calibration to test and challenge models.
• Use advanced data analytics to interrogate large datasets, find anomalies and emerging risks, and assess control effectiveness.
• Evaluate the quality, completeness, accuracy and lineage of data used in models and business processes.
• Communicate evidence-based findings and recommendations, and maintain stakeholder relationships while safeguarding Internal Audit's independence.
• Stay up to date on banking regulation, model risk, data science and AI, and help strengthen the model-review and data-analytics capability.

Required profile

• Bachelor's degree in Business, Data Science, Mathematics, Statistics, Actuarial Science, Computer Science, Economics or an equivalent combination.
• Accounting, finance, internal audit, risk or data science qualification such as CPA(K), ACCA, CISA, CIA or FRM, or equivalent.
• At least 4 years of audit experience, including hands-on lending model development, validation or independent model review, and quantitative risk analytics.
• Relevant experience in audit, data science and advanced analytics, and banking or financial services experience.

Required skills

• SQL, Python and R.
• Supervised and unsupervised machine learning techniques.

To apply, candidates register through the recruiting partner's online application form.