Job Description

Reporting to Manager,Data Science,the job holder is responsible for applying statistical analysis, machine learning, artificial intelligence and data modeling techniques to extract insights from complex datasets, enabling data-driven decision-making. The job holder is involved in identifying business problems, designing analytical solutions, and implementing predictive models to optimize processes and drive innovation.

Job Responsibilities

• Design, develop, and deploy machine learning models and predictive algorithms plus validate model accuracy and ensure they meet performance requirements.

• Collaborate with stakeholders to define business problems and translate them into data science projects.

• Design solutions tailored to specific organizational needs.

• Collect, clean, and preprocess data for analysis and ensure data quality and integrity throughout the project lifecycle.

• Create dashboards, visualizations, and reports to present findings.

• Conduct ad-hoc analysis, simulations, and predictive modeling to support decision-making.

• Analyze financial sector data to identify risks, trends, and regulatory implications.

• Develop AI-assisted risk assessment frameworks, AI agents, forecasting models, and early warning systems.

• Provide data-driven insights to inform supervisory, risk mitigation, and policy decisions.

• Effectively communicate complex data concepts to non-technical audiences.

• Work with data engineers, analysts, and IT teams to implement data solutions.

• Provide support during the integration of analytics solutions into business processes

Job Requirements

• Bachelor’s degree in AI engineering, data science, computer science or a similar discipline.

• Two (2) years of experience in data science, data governance, AI engineering or data quality assurance.