Finance and Accounting · Full-time
Direct employerAudit Manager

Published by employer
About this role
This plain-English summary was prepared by work.ke from the original advert. Confirm all details on the source before applying.
Role overview
KCB Group in Kenya is looking for an Audit Manager. This role suits someone with expertise in risk management, internal controls, and data analytics, especially in banking or financial services. The position involves reviewing models and applying data science techniques to support audit processes.
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What you will do
- Develop risk-based audit plans and define internal audit scope aligned with the Bank's strategy and risk profile.
- Conduct risk-based audits to assess governance, risk management, internal controls, and compliance with policies and regulations.
- Review lending models across the Bank, evaluating design, assumptions, data, validation, and performance.
- Evaluate model risk governance including model inventory, ownership, validation, approval, and change management.
- Use quantitative and data science techniques to test and challenge models, including back-testing and sensitivity analysis.
- Apply advanced data analytics to audit large datasets, identify anomalies, assess controls, and improve audit coverage.
- Communicate audit findings clearly, translating complex model and data issues into understandable risk and control implications.
- Maintain stakeholder relationships and provide technical advice on risk management, controls, governance, model risk, and data matters while preserving audit independence.
- Keep updated on developments in banking, regulation, model risk, data science, AI, and internal audit, contributing to capability enhancement.
Requirements
- Bachelor's degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or equivalent experience.
- Professional qualifications in Accounting, Finance, Internal Audit, Risk, or Data Science such as CPA (K), ACCA, CISA, CIA, FRM or equivalent are an added advantage.
- Master's degree in Statistics, Actuarial Science, Data Science or MBA is an added advantage.
- Proficiency in SQL, R, Python, and supervised and unsupervised machine learning techniques.
- At least 4 years of experience in lending model development, validation, independent model review, or quantitative risk analytics.
- At least 3 years of experience in data science or advanced analytics using Python, R, SQL, SAS or equivalent.
- At least 3 years of experience in banking, financial services, or auditing financial institutions.
- Minimum 2 years of relevant audit experience (desirable but not essential).
- At least 2 years of experience in stakeholder management.
How to apply
Apply on the employer's application page. The closing date for applications is Friday, 6 November 2026.
