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Gulf African Bank, the first Islamic bank in Kenya, was founded in 2005 by a group of motivated Kenyans who envisioned an ethical and fair alternative to conventional banking. Operating on Shari'ah principles, the bank offers a unique banking experience. We are currently seeking talented professionals to join our team in the following positions:
Data Scientist
Job Type: Full Time
Qualification: BA/BSc/HND, MBA/MSc/MA, Professional Certificate
Job Field: Data, Business Analysis and AI, ICT / Computer
Job Purpose:
To design, develop, deploy and govern advanced analytics, machine learning and artificial intelligence solutions that support strategic decision-making, strengthen risk management, improve customer outcomes, optimize financial performance and enhance operational efficiency across the Bank. The role will leverage structured and unstructured data to build predictive and prescriptive models, translate complex analysis into actionable business recommendations, and embed scalable, responsible and measurable analytics solutions into business processes. The job holder will partner with Business, Finance, Risk, Compliance, Operations and Technology teams to strengthen the Bank’s advanced analytics capability and promote data-driven decision-making.
Key Responsibilities:
Advanced Analytics & Data Science
Design and develop predictive and prescriptive models for priority banking use cases, including customer behaviour, credit and portfolio risk, fraud and anomaly detection, customer churn, collections, deposit attrition, product propensity, profitability and branch or channel optimization. Perform data discovery, preparation, feature engineering, model training, validation, tuning and testing using structured and unstructured banking data. Apply appropriate statistical, machine learning, forecasting, optimization and experimentation techniques to uncover patterns and support evidence-based decisions. Translate complex analytical outputs into clear recommendations, decision rules, dashboards and interventions for business and control functions. Evaluate requests for new or modified analytical solutions to determine business value, feasibility, data availability, delivery effort, dependencies and compatibility with the Bank’s technology environment. Develop proof-of-concepts and pilots to assess emerging analytics and AI approaches before scaled implementation.
Model Deployment, Monitoring & MLOps
Collaborate with Data Engineering and Technology teams to productionize models and analytical solutions using scalable and controlled deployment practices. Apply version control, reproducible development, testing, release management and model lifecycle practices appropriate to the Bank’s environment. Monitor model accuracy, stability, drift, bias, fairness and operational performance, and implement remediation, retraining or retirement actions when required. Maintain a complete inventory of analytical models, including ownership, purpose, status, dependencies, versions and review dates.
Model Governance, Responsible AI & Compliance
Establish and maintain fit-for-purpose model documentation covering methodology, assumptions, limitations, data sources, validation results, performance thresholds and intended use. Support independent model review and validation by providing evidence, test results and traceable documentation. Ensure analytics and AI solutions comply with applicable laws and regulations, internal policies, information security requirements, data protection obligations, model risk controls and responsible AI principles. Assess and communicate model limitations, explainability, potential bias and risks to relevant stakeholders before implementation. Maintain audit-ready records and ensure material model changes are appropriately reviewed and approved. Partner with Business, Finance, Risk, Compliance, Operations and Technology stakeholders to define business problems, analytical hypotheses, success measures and implementation requirements. Quantify and track the benefits of analytics initiatives, including revenue uplift, cost reduction, risk mitigation, customer retention, productivity improvement and turnaround-time reduction. Prioritize analytical use cases using strategic alignment, expected value, feasibility, data readiness, risk and implementation effort. Act as a trusted analytical advisor by challenging assumptions and converting findings into practical actions and decisions. Work with business owners to formulate key business questions, define consistent metrics and build trusted datasets that answer those questions. Integrate predictive outputs into management reporting and performance monitoring where they improve forward-looking decision-making.
Business Performance Analytics Support
Promote adoption of Business Intelligence tools, analytical frameworks and self-service analytics across the Bank. Deliver performance dashboards and analytical insights covering deposits, financing growth, revenue streams, profitability, portfolio quality, customer performance, products, branches and channels. Work with business owners to formulate key business questions, define consistent metrics and build trusted datasets that answer those questions. Integrate predictive outputs into management reporting and performance monitoring where they improve forward-looking decision-making.
Data Quality, Management & Platform Enablement
Work with Data Governance, Data Engineering and business data owners to improve the quality, lineage, accessibility, security and usability of data used for analytics. Define analytical data requirements, critical data elements, quality rules and remediation priorities for key data science use cases. Improve procedures, guidelines, standards and reusable practices for analytical data management, maintenance, reporting and security. Contribute to the enhancement of the Bank’s analytics architecture, tools, development environments and scalable data science platforms.
Capability Development, Innovation & Stakeholder Engagement
Contribute to the Bank’s advanced analytics and AI roadmap and identify high-value opportunities for machine learning, natural language processing, generative AI and intelligent automation. Develop and maintain user guides, technical documentation, model cards, operating procedures and knowledge repositories for analytical solutions. Deliver user training and knowledge-sharing sessions to enable stakeholders to understand, interpret and responsibly use analytical outputs. Mentor junior analysts and contribute to professional standards, peer review and continuous capability development within the Data & Analytics function. Represent Data & Analytics in relevant project teams, governance forums and cross-functional working groups.
Governance & Compliance
Ensure compliance with all applicable laws and regulations, as well as with the Bank’s internal policies and procedures while executing assigned duties and responsibilities. Perform any other duties that may be assigned by management, consistent with the purpose and level of the role.
Key Relationships
Direct Reports to this Position
Customers of this Position
All Departments in the Bank
Required Competencies
The job holder should demonstrate a balanced combination of banking, quantitative, technical and stakeholder management capability:
Banking and financial services knowledge – 20%
Statistics, mathematics and experimental design – 15%
Programming, SQL and machine learning – 25%
Data engineering fundamentals – 10%
MLOps, deployment and model monitoring – 5%
Business Intelligence, visualization and data storytelling – 10%
Data governance, model risk, privacy and responsible AI – 5%
Business analysis, communication and stakeholder management – 10%
Core tools and methods may include Python or R, SQL, Power BI, Microsoft Excel or equivalent visualization tools, statistical modelling, supervised and unsupervised learning, forecasting, anomaly detection, version control and cloud-based analytics platforms, subject to the Bank’s approved technology environment.
Education Qualifications and Experience
Bachelor’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, Economics, Financial Engineering, Operations Research or another relevant quantitative discipline. Master’s degree in Data Science, Statistics, Artificial Intelligence, Business Analytics, Financial Engineering or a related field will be an added advantage. Relevant professional certifications in data science, cloud analytics, machine learning, business intelligence, data management, risk or banking will be an added advantage. Minimum of 3 to 5 years’ relevant experience in banking analytics, data science, risk analytics, customer analytics or a closely related quantitative role. Demonstrable experience delivering analytical solutions from business problem definition through model development, deployment, adoption and benefits tracking.
Key Behavioral Competencies
Analytical thinking, intellectual curiosity and sound professional judgement. Ability to communicate complex analysis clearly to technical, business and executive audiences. Collaboration, stakeholder influence and constructive challenge. Attention to detail, documentation discipline and a strong control mindset. Commercial awareness, delivery focus and accountability for measurable outcomes. Commitment to ethical, fair and responsible use of data and AI.
Treasury Dealer (Foreign Exchange)
Job Type: Full Time
Qualification: BA/BSc/HND
Location: Nairobi
Job Field: Finance / Accounting / Audit
Job Purpose:
Execution of the bank’s foreign exchange business strategy by entering into foreign exchange dealings with designated clients and collaborating with the business teams to grow foreign exchange income.
Key Responsibilities:
Initiate designated clients calls for a first-hand understanding of their foreign exchange requirement patterns and plans. Execute foreign exchange deals with designated clients, as mandated by the bank. Ensure prompt generation and release of deal tickets to the respective stakeholders. Track foreign exchange transactions volumes and income to evaluate and monitor foreign exchange business performance progress. Coordinate visits to designated clients and circulate the call-visits reports for action by relevant stakeholders. Monitor and assess real-time both deal specific and cumulative foreign exchange exposure build up to ensure strict compliance with the internal and regulatory guidelines. Prepare and circulate foreign exchange rates for use by the bank branch staff while ensuring strict compliance with the bank’s mark-up policy. Ensure all known transactions are posted onto the blotter for ease of reconciliation with iMAL. Ensure strict adherence to the Kenya FX Code and all other relevant internal policy guidelines.
Key Relationships
Direct Reports to this Position
Customers of this Position
Designated external clients
Business team
Branch Staff
Education Qualifications and Experience
Graduate in a business-related field. ACI – the Financial Market Association Certificate. Dealership in Foreign Exchange. Knowledge of the Kenya Foreign Exchange Code.
Job-Specific Competencies
Customer Relationship Management, Treasury Sales Skills, Verbal and Written Communication Skills.
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