Senior Consultant - Quantitative Risk Modelling

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