Key Responsibilities Quantitative Risk Modelling & FCC Advisory ü Lead delivery of model-focused engagements, including risk model development, validation, and review across AML, transaction monitoring, and risk scoring frameworks ü Design and implement quantitative models aligned with regulatory expectations and best practices ü Oversee model validation activities, including back-testing, performance monitoring, and documentation Data, Coding & Analytics ü Design and oversee data pipelines and analytical solutions using Python, SAS, scikit-learn, and statsmodels ü Lead analysis of large datasets to support model development, calibration, and optimisation ü Develop and enhance automated reporting, model outputs, and monitoring frameworks Machine Learning & Modelling ü Apply and guide advanced statistical and machine learning techniques for risk modelling, including classification, clustering, and anomaly detection ü Oversee model development lifecycle from design to validation and implementation ü Ensure models are robust, explainable, and compliant with regulatory requirements Technology & Innovation ü Drive implementation of model-driven solutions within client systems and FCC frameworks ü Identify opportunities to enhance modelling approaches through automation and advanced analytics Stakeholder Management ü Manage client relationships and provide clear, structured insights on model performance and risks ü Translate technical outputs into business recommendations for senior stakeholders ü Guide and review work of junior team members to ensure quality and consistency