Senior Data Scientist – Risk Analytics

Job Overview We are seeking an experienced Data Scientist to develop machine learning models and analytical solutions that support credit risk assessment, fraud detection, and data-driven business decisions within the financial services sector. Key Responsibilities • Develop and optimise predictive models for credit risk, fraud detection, and customer segmentation. • Analyse complex datasets to identify trends and improve model performance. • Manage model documentation, validation, governance, and approval processes. • Build and maintain model deployment pipelines and monitoring frameworks. • Lead data science initiatives and mentor junior team members. Requirements • At least 5 years of experience in data science or machine learning, preferably in fintech or financial services. • Proven experience deploying machine learning models in production. • Strong knowledge of statistical analysis, predictive modelling, and machine learning. • Experience in credit risk modelling and model governance is an advantage. • Familiarity with MLOps and AI-assisted development tools. • Strong analytical, problem-solving, and communication skills.