Data Science and Analytics Lead

We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their datadriven technology powers MNOs fintechs and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cuttingedge financial tech with realworld impact this is the opportunity for you. With rapid growth industry recognition and a team that thrives on innovation this is a chance to shape the future of finance in highgrowth markets across Africa. Job Description: The Data Science and Analytics Lead will enhance their credit risk modelling predictive analytics and operational efficiency. Improve multisource data integration strengthening model governance automating data processes and scaling our infrastructure for faster decisionmaking and market expansion. The Data Science and Analytics Lead will drive datadriven insights refine risk models and build scalable solutions that optimize lending decisions and business growth. Your daily adventures include:Strategic Leadership & Business ImpactDrive the development and of the data science strategy to support business growth embedded finance and new market expansionLeverage AI and behavioral science insights to enhance credit performance customer engagement and savings adoption. Partner with product risk and engineering teams to integrate data science into decisionmaking and operational processesModel Development & AI GovernanceBuild refine and deploy AIpowered credit scoring models ensuring high performance fairness and explainability.Lead experimentation and A/B testing initiatives to enhance underwriting portfolio management and product innovation. Data Infrastructure & ScalabilityCollaborate with Engineering to expand data science capabilities to support multiple markets optimizing for scalability and adaptabilityEnsure data integrity security and compliance across all data science initiativesTeam Leadership & DevelopmentDrive best practices in model development MLOps and responsible AIPromote crossfunctional collaboration to maximize the value of data science across the organization.RequirementsWhat it takes to succeed:Strong background in data science machine learning and AI with experience in credit risk modelling and financial servicesDeep understanding of AI governance model transparency and regulatory compliance in financial servicesHandson experience with MLOps model deployment and automated monitoring solutionsStrong analytical mindset with a proven ability to drive business impact through data scienceExcellent leadership skills with the ability to mentor and build highperforming teamsBachelors degree in a quantitative field such as Statistics Mathematics Physics Computer Science Data Science Engineering Economics Financial Engineering Actuarial Science or a related disciplineExperience in fintech digital lending or embedded finance is preferredExposure to cloud platforms such as AWS GCP or Azure for data engineering and machine learning is beneficialFamiliarity with graph analytics network science or behavioral data modelling is beneficialKnowledge of causal inference techniques and advanced experimentation methodologies is beneficialPrior experience in expanding data science functions into new markets is beneficial Key Skills Client Server,Abinitio,Marketing and Merchandising,LMS,Bakery Employment Type : Full-Time Experience: years Vacancy: 1