- Contribute to the design and enhancement of the Bank's flagship analytical publications, including the African Trade and Economic Outlook (AETO), African Trade Report (ATR), and Debt Sustainability Analysis (DSA).
- Work with researchers, economists, financial analysts and IT colleagues to integrate robust quantitative modelling into research outputs and trade finance insights.
- Provide advanced analytical input to support evidence-based decision-making across the Bank.
Data Management & Advanced Analytics
- Lead the development and implementation of data management strategies, including data collection, cleaning, validation, storage and governance.
- Build and maintain data architectures that support large-scale, structured and unstructured data relevant to trade finance, macroeconomics, markets and customer behaviour.
- Develop predictive models and algorithms to forecast macro trends, assess risk and identify opportunities in trade finance.
- Integrate AI, machine learning and advanced analytics into economic and financial modelling to strengthen scenario analysis and forecasting.
- Ensure secure, compliant and high-quality data environments, including adherence to data governance and data security protocols.
- Communicate findings via dashboards, visualisations and reports for senior stakeholders.
Model Development & Governance
- Lead the design, development, backtesting, validation and documentation of models across risk categories (e.g. credit, market, liquidity, operational).
- Coordinate with Model Owners, Approvers, Users and the Internal Model Validation Unit to ensure models meet business, risk and regulatory requirements.
- Develop and implement monitoring and post-implementation review (PIR) frameworks to track model performance, usage and fitness-for-purpose.
- Undertake periodic recalibration, realignment and redevelopment of models to reflect evolving market conditions and risk profiles.
- Engage with external auditors and third-party service providers as needed on model-related matters.
- Stay up to date with advances in modelling and analytics, integrating innovative approaches where appropriate.
Training & Stakeholder Support
- Provide training and guidance to end-users on interpreting and applying models across the Bank.
- Act as a key subject-matter expert on data, models and analytics, supporting functions across the Group and subsidiaries.
Compliance & Risk
- Ensure all models and data processes comply with relevant regulatory requirements and internal risk policies.
- Understand and adhere to the Bank's AML, Regulatory and Conduct Compliance policies (Staff Handbook, AML/CFT/CPF, Conflicts of Interest, Anti-Bribery & Corruption, Insider Trading).
- Document and escalate risks and issues related to model development, deployment and data usage.
- Complete all mandatory compliance training and contribute to a strong culture of compliance across the Bank.
Minimum Qualifications
- PhD in Economics, Mathematics, Actuarial Science, Econometrics, Statistics, Engineering, or another quantitative discipline.
- Strong coding skills and experience using statistical and programming languages such as R, Python, SQL, etc.
- Proven experience working with and creating data architectures.
- In-depth knowledge of machine learning techniques (e.g. clustering, decision trees, neural networks) and their practical applicability.
- Strong grounding in advanced statistical techniques (regression, distributions, statistical tests) and their applied use in finance and economics.
- Excellent written and verbal communication skills, with the ability to explain complex technical material to non-technical stakeholders.
- Demonstrated drive to continuously learn and master new modelling tools, techniques and technologies.
Years & Nature of Experience
- 12 years of proven banking or financial sector experience in data management, model development and analytics.
- Significant experience developing, implementing and maintaining risk and economic models within an enterprise risk or research context.
- Experience working with cross-functional teams (risk, finance, IT, research, business units) to deliver analytic and model-based solutions.
- Deep expertise in quantitative modelling, risk analytics and macroeconomic analysis.
- Strong leadership skills with the ability to coordinate multiple specialist teams and act as the technical escalation point.
- Ability to propose innovative, high-impact solutions to complex problems.
- Strong interpersonal skills with the ability to influence and engage senior stakeholders, including external parties.
- Comprehensive understanding of Afreximbank's mandate, African trade and macroeconomic landscape.
- Embodiment of Afreximbank's core values:
- Commitment to Africa and empowerment of Africans
- Uncompromising integrity
- Passion for learning and drive
- Teamwork
- Trust and respect for the individual
- Innovation, excellence and flexibility
- Professionalism and responsiveness
- How to Apply
Interested candidates who wish to apply for this position are invited to send their CV and supporting documents to:
[Confidential Information]
Please indicate
Senior Manager, Research (Data Management & Model Development) in the subject line of your email.
