Posted
3 months ago
Deadline
8th Dec, 2025
Location
Nairobi, Kenya
Job Type
full time
You will be responsible for supporting the identification, assessment, monitoring, and mitigation of credit risk within the Bank. Your duties will include conducting credit risk assessments, analyzing financial data and market trends, and ensuring compliance with regulatory requirements and internal risk policies.
BA/BS in Mathematics, Business, Quantitative Finance, Computer Science, Economics, Statistics, Engineering or another Quantitative field
master’s degree is a plus.
Risk management qualifications such as Global association of risk professionals (GARP) certifications, relevant ISO certifications such as ISO 3100, ISO 22301 is a must.
Minimum 5 years’ successive employment in a Bank or a similar Financial Institution 2 of which must be in credit risk management
Practical knowledge of Credit Products, Treasury products as well as a basic understanding of Credit Cycle/Treasury Cycles and Operational processes.
Sound knowledge of risk management and risk governance practice
Analytical and Visualization skills in any of the following: Excel, VBA, Python, R, and/or SQL is required.
Any related professional certification is preferred.
Credit Risk Assessment – Ability to analyze financial statements, loan portfolios, and borrower risk profiles.
Regulatory Compliance – Strong knowledge of CBK (Central Bank of Kenya) regulations, Basel II & III, IFRS 9, and credit risk guidelines.
Financial Analysis & Modeling – Proficiency in assessing creditworthiness using financial ratios, stress testing, and credit scoring models.
Portfolio Risk Management – Experience in monitoring non-performing loans (NPLs), loan provisions, and credit exposure limits.
Credit Policy & Frameworks – Understanding of credit risk policies, risk appetite frameworks, and underwriting standards.
Risk Reporting & Analytics – Ability to generate and interpret credit risk reports, loss forecasts, and early warning indicators.
Technology & Data Analytics – Proficiency in MS Excel, SAS, Python, Power BI, or other credit risk analysis tools.
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