Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation,
SUMMARY: Drive the future of Machine Learning and Quantitative Risk Analytics at a leading financial services organization. This is an opportunity for a technically strong Quantitative Analyst to lead the validation of high-impact machine learning models
Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation,