Audit Manager - Model Risk and Data AnalyticsNew!

Description (Public)

KCB Bank Kenya is looking for an Audit Manager to deliver risk-based internal audit assurance across the Bank, with particular focus on lending model reviews, model risk governance and advanced data analytics.

Duties, Roles and 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 standards.
Execute risk-based audits and provide independent assurance on the adequacy and effectiveness of governance, risk management and internal controls.
Perform independent reviews of lending models across the Bank, assessing model design and methodology, underlying assumptions, data, implementation and validation.
Assess the effectiveness of model risk governance, including model identification and inventory, ownership, development, validation and approval.
Apply quantitative and data science techniques to independently test and challenge models, including back-testing where applicable.
Apply advanced data analytics to audit engagements to interrogate large and complex datasets and identify anomalies and emerging risk patterns.
Assess the adequacy of data used in models and key business processes, covering data quality, completeness, accuracy, lineage and relevance.
Develop and communicate clear, evidence-based audit findings and recommendations to management.
Maintain effective stakeholder relationships and provide technical input and advisory support on risk management and internal controls.
Stay abreast of developments in banking, regulation, model risk, data science, artificial intelligence and internal audit.

Qualifications, Education and Competencies

Qualifications & Experience:

Bachelor's degree in Business, Computer Science, Economics, Statistics, Actuarial Science, Data Science, Mathematics or an equivalent field.
Professional qualification in Accounting, Finance, Internal Audit, Risk or Data Science, such as CPA (K), ACCA, CIA, CISA, FRM or equivalent.
A master's degree in Statistics, Actuarial Science, Data Science or an MBA is an added advantage.
A minimum of 4 years' relevant audit, risk or analytics experience.

Skills & Competencies:

Proficiency in SQL, R and Python, including supervised and unsupervised machine learning techniques.
Strong analytical and model review capability, with the confidence to challenge complex modelling assumptions.
Clear written and verbal communication of technical findings to non-technical stakeholders.
Strong stakeholder engagement and independent judgement.