Afreximbank’s mission is to expand and diversify African trade while remaining profit-oriented and socially responsible with a vision to be “The Trade Finance Bank for Africa.” Its strategy focuses on boosting intra-African trade supporting industrialization and exports leading in trade finance and strengthening financial performance. Success is measured by stakeholder satisfaction expanded trade and stronger results underpinned by sound governance risk management and values of integrity teamwork innovation and commitment to Africa.

Reference Number: SFBLR77

Application Closing Date: 25th November 2025

CA Global Headhunters has been mandated by Afreximbank to recruit for this position. For more information on Afreximbank please visit their website . Should you meet the minimum requirements and wish to apply for the position please apply directly to CA Global Headhunters.

Responsibilities:

• Reporting to the Deputy Chief Economist and the Director of Data Management and Model Development the primary goal of the Data Management and Model Development role is to provide technical leadership in research and analytical production. This involves data management and analytics ensuring that the bank adopts industry best practices in modeling. The job holder is also expected to design develop deploy and maintain advanced models that address macroeconomic modeling and a wide range of risk categories within the Bank’s Enterprise Risk Management framework. These categories include Business and Strategy Risk Credit Risk Market Risk Liquidity Risk and Operational Risk among others. These models are crucial for providing valuable insights that lead to strong financial outcomes and the development of effective risk mitigation this role it is vital to ensure that the Bank's data and risk management framework is robust complies with regulatory standards and aligns with the institution's strategic objectives.

• Research and Analytical Production
  • Contributes to the production of the Bank’s Analytical Publications.
  • Enhance the analytical rigor and depth of Afreximbank’s key publications specifically: African Trade and Economic Outlook (AETO) African Trade Report (ATR) and Debt Sustainability Analysis (DSA).
  • Work closely with cross-functional teams including researchers economists financial analysts and IT professionals to leverage collective expertise and develop comprehensive insights into trade finance dynamics.

• Data Management and Analytics
  • Stay abreast of the latest advancements in data science machine learning and financial technology to identify innovative approaches and methodologies applicable to trade finance.
  • Contribute to formulating strategic initiatives and business recommendations based on data- driven insights and analysis supporting the bank's objectives in trade finance.
  • Develop the Bank’s leadership in predictive analytics AI-driven tools and data governance aligning with the Bank's data-driven strategy. Develop predictive models and algorithms to forecast market trends assess credit risk and identify potential opportunities or risks in trade finance operations. Leverage advanced analytics techniques to enhance model accuracy and predictive power. Evaluate and refine existing models and methodologies to enhance predictive accuracy efficiency and scalability leveraging feedback and performance metrics.
  • Contributes to developing sophisticated forecasting models tailored to the specific contexts of African economies strengthening the Bank’s data management approach through innovative governance frameworks and integrating AI and machine learning into economic modelling tools to enhance the precision of scenario analyses.
• • Ensure comprehensive and accurate data collection from various sources. Collect clean and preprocess large volumes of structured and unstructured data related to trade finance transactions market trends and customer behaviour. Oversee the aggregation and validation of data from multiple sources to ensure accurate model inputs.
  • Ensure strict adherence to data governance and data security protocols.
  • Communicate findings and insights effectively through compelling data visualizations dashboards and reports to facilitate stakeholders' decision-making processes.

• Model Development – Adherence to Industry Best Practices
  • Work closely with stakeholders from various departments including Model Owners Model Approvers Model Users and the Internal Model Validation Unit (IVU) to ensure that all models align with business needs and objectives.
  • Perform back testing of all models to ensure their accuracy and reliability.
  • Prepare validation material and address validation findings for all models.
  • Implement improvements based on validation findings and management feedback.
  • Maintain comprehensive documentation of model development processes underlying assumptions and methodologies across all models.
  • Develop and implement robust monitoring frameworks and initial monitoring packs to track the performance of each model identify necessary adjustments and ensure the implementation of fit-for-purpose models.
  • Develop and implement comprehensive post-implementation review (PIR) frameworks and initial PIR packs to ensure models are used as intended.
  • Conduct periodic realignment calibration and redevelopment of all the models to reflect evolving market conditions risk profiles and data insights.
  • Work closely with external stakeholders including auditors and third-party service providers to ensure models meet business requirements and objectives.
  • Stay informed about the latest advancements in risk modelling techniques and integrate innovative approaches to enhance the effectiveness of all models.

• Staff Training
  • Provide training and support to end-users on applying and interpreting all models across the Bank.

If you wish to apply for the position please send your CV to Scott Fraser at .

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