Summary
Date Posted: Wednesday, January 03 2024, Base Salary: Not Disclosed

JOB DETAILS:
JOB PURPOSE: The role holder will:
• Drive the standardization and operationalization of the bank’s model risk governance framework through validation of models and model-based decisions/ guidelines,
• Enhance the accuracy of credit analytics & predictive models to mitigate losses arising out of errors and minimize shocks arising from changes in the macro-economic environment and sector trends on the bank’s performance.

LOCATION: Kampala

KEY ACCOUNTABILITIES:
• Be responsible for the collation, analysis (including trend analysis) and publication of the Key Credit Risk Performance Indicators.
• Design relevant risk reporting tools & templates and prepare timely, comprehensive, and reliable credit risk reports.
• Proactive assessment of Industry/ Sector risks and performance to guide prioritization of business efforts.
• Conduct Macro economic analysis and forecasting and advise the bank on possible impact to performance.
• Participate in conducting of periodic Credit stress tests and scenario analysis, assessing the impact on the Bank’s credit portfolio and make appropriate recommendations to senior management for action.
• Assess the quality of the overall loan portfolio through trends and other analytical risk indicators, to improve credit collections and recoveries.
• Benchmarking quantitative and qualitative risk appetite and tolerances, as well as limit structures, relative to sound industry standards and regulatory expectations, while considering the bank’s business strategies.
• Analyze performance qualitatively and/or quantitatively, detecting emerging risks and/or deviations, and recommend actions to mitigate losses and improve performance and profitability.
• Perform regular portfolio surveillance including earnings review and credit market spreads.
• Review the Bank’s credit analytics to enhance its accuracy and support in the review, understanding and management of model risk to mitigate losses arising from errors.
• Assessment of model development and model review activities within various risk management domains.
• Operationalization of the model risk governance framework covering both model development and model validation by engaging all stakeholders to establish solid model risk management.
• Validation of assumptions, formulae and methodologies in the guidelines and processes for developing models and provision of recommendations in the regular improvement of the models (upgrade towards predictive models) to avoid and mitigate losses to the Bank; Including but not limited to rating parameters (EL, PDs, LGDs, EAD etc.), pricing and capital allocation models, RAROC framework, Credit Var estimation and regulatory Capital estimation (Standardized approach and Internal Rating Based approach).
• Validation (for improvement) of the statistics used in portfolio analytics such as credit limit setting, loss forecasting, allowance for portfolio losses, loan stress testing, capital allocation etc.
• Periodic review and enhancement of model governance policies, standards, processes, and procedures.
• Validation of compliance with regulatory and statutory model requirements.
• Advise Senior management on model risk management following independent model validation activities.
• Periodic review and assessment of the bank’s country risk exposure.
• Any other tasks as assigned on a day-to-day basis.

Qualifications, Experience and Competencies required:
• An undergraduate degree in mathematics, statistics, actuarial science, or quantitative economics.
• CFA, ACCA, or CAA qualification will be an added advantage.
• Knowledge of data analysis and validation tools
• Knowledge of data modelling, data cleansing, and data enrichment techniques
• In possession of formal research training
• 4 years working experience in a financial institution.
• Highly numerate and analytical
• Experience of Statistical methodologies, modelling, interpretation, and translation
• Risk management (Credit and Market Risk) and commercial grounding
• Capacity to develop and document procedures and workflows.
• Knowledge on macro-economic and sector performance tools
• Ability to carry out data quality control, validation, and linkage.
• An understanding of data protection issues
• An awareness and knowledge of industry-specific databases and data sets
• Ability to produce clear graphical representations and data visualizations.
• Ability to pay attention to detail.
• Ability to communicate well and be highly organized.
• Ability to translate analytics and provide insight and analysis through clear visual, written, and verbal communication.
• Highly curious and inquisitive



Work Hours: 8

Experience in Months: 48

Level of Education: Bachelor Degree

Job application procedure

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