Senior Consultant - Quantitative Risk Modelling

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