About Afreximbank: African Export-Import Bank (Afreximbank) is a Pan-African multilateral financial institution mandated to finance and promote intra-and extra-African trade.
For 30 years, the Bank has been deploying innovative structures to deliver financing solutions that support the transformation of the structure of Africa’s trade, accelerating industrialization and intra-regional trade, thereby boosting economic expansion in Africa. A stalwart supporter of the African Continental Free Trade Agreement (AfCFTA), Afreximbank has launched a Pan-African Payment and Settlement System (PAPSS) that was adopted by the African Union (AU) as the payment and settlement platform to underpin the implementation of the AfCFTA. Working with the AfCFTA Secretariat and the AU, the Bank is setting up a US$10 billion Adjustment Fund to support countries to effectively participate in the AfCFTA. At the end of December 2023, Afreximbank’s total assets and guarantees stood at over US$37.3 billion, and its shareholder funds amounted to US$6.1 billion. The Bank disbursed more than US$104 billion between 2016 and 2023. Afreximbank has investment grade ratings assigned by GCR (international scale) (A), Moody’s (Baa1), Japan Credit Rating Agency (JCR) (A-) and Fitch (BBB). Afreximbank has evolved into a group entity comprising the Bank, its impact fund subsidiary called the Fund for Export Development Africa (FEDA), and its insurance management subsidiary, AfrexInsure, (together, “the Group”). The Bank is headquartered in Cairo, Egypt.
Reporting to the Deputy Chief Economist and the Director of Data Management and Model Development, the primary goal of the Data Modeling and Data Science role is to provide technical contributions to the Data Management and Model Development Department. This includes analyzing company data to support data development functions and providing leadership in research and analytical production. The role holder will be responsible for establishing data models, data flows, and data storage systems that align with business objectives. This involves managing data and analytics to ensure that the bank adopts industry best practices in modeling. The job holder is also expected to design, develop, deploy, and maintain advanced econometric models. Key Responsibilities Data Management
• Data Analysis: Collect and analyze data from company databases to optimize and improve research, product development, and business strategies. Collect, clean, and preprocess large volumes of structured and unstructured data related to trade finance transactions, market trends, and customer behavior.
• Statistical Modeling: Develop predictive models and algorithms to forecast market trends, assess credit risk, and identify potential opportunities or risks in trade finance operations.
• Data Visualization: Communicate findings and insights effectively through compelling data visualizations, dashboards, and reports to facilitate stakeholders' decision-making processes.
• Strategy Development: Contribute to formulating strategic initiatives and business recommendations based on data-driven insights and analysis, supporting the bank'sobjectives in trade finance. Ensure strict adherence to data governance and data security protocols. Data Analytics
• 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 modeling 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 behavior. Oversee the aggregation and validation of data from multiple sources to ensure accurate model inputs.
• Communicate findings and insights effectively through compelling data visualizations, dashboards, and reports to facilitate stakeholders' decision-making. 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. Staff Training
• Provide training and support to end-users on applying and interpreting all models across the Bank. Compliance Responsibilities
• Understand and adhere to the Bank's AML, Regulatory and Conduct Compliance policies and procedures.
o Staff Handbook (has code of conduct provisions)
o Anti-Money Laundering (AML), Counter Financing of Terrorism and Counter-Proliferation Financing
o Conflicts of Interest and Policies on Staff Involvement in External Engagements/Activities
o Anti-Bribery & Corruption
o Insider Trading Guidelines
• Report any suspicious or non-compliant activities or matters relating to the Bank’s staff or the customers to the Compliance Department.
• Support implementing a Compliance strategy and safeguard the maintenance of an effective control environment to promote a culture of compliance within Afreximbank.
• Complete the Annual Compliance Training/Assessment.
Minimum Qualifications
• Master’s degree in Economics, Mathematics, Actuarial Science, Econometrics, Statistics, Engineering, or another quantitative field.
• Coding knowledge and experience with several languages.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, proper usage of statistical tests, etc.) and application experience.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques. Years and Nature of Experience
Possess 5 years of comprehensive and proven banking experience in data management, model development, and analytics.
PROFICIENCY
Strong drafting skills. Strong economic background. Strong analytical and quantitative skills, proficiency in statistical software (e.g., SAS, R, Python), and a deep understanding of regulatory frameworks and capital adequacy principles.
LEADERSHIP SKILLS
Demonstrating empathy, building strong relationships, and resolving conflicts. Understanding and managing one's own emotions and those of others
INTERPERSONAL SKILLS
Collaboration with a diverse and skilled team of professionals. Effective communication skills to convey ideas, expectations, and feedback clearly
PROBLEM-SOLVING AND BUSINESS IMPACT
Ability to break down complex problems into manageable components Understanding financial metrics and their impact on business performance Understanding the broader business context and aligning actions with strategic goal
SUPPORTING
AFREXIMBANK MANDATE
Deep knowledge of trade finance, credit risk, and financial instruments Understanding and respecting the diverse cultural contexts within which the Bank operates
