Job SummaryRequired Experience:Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problemsStrong ML background with hands-on experience in model development, validation, deployment, and performance monitoringProficiency in Python, SQL, and relevant ML libraries (scikit-learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuningExperience translating complex model outputs into actionable business strategies and stakeholder communicationsAbility to work cross-functionally with product, engineering, and commercial teamsStrong data communication skills — written, oral, and visualHighly Desirable:Experience in credit, underwriting, lending analytics, or fintech modellingResponsibilitiesBuilding and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple marketsDeveloping and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysisContinuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impactCollaborating cross-functionally with engineers, data scientists, and commercial stakeholders to scale models into production
