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