Found Description
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 while working on cutting-edge analytics solutions.
POSITION INFO:
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, deployment, and monitoring. Assess and challenge advanced machine learning methodologies, including boosting algorithms, neural networks, clustering techniques, and anomaly detection models. Build, review, and test quantitative models within Python-based environments. Monitor and manage model risk, ensuring compliance with governance and ...