Vacancy Description
Quantitative Analyst - Machine Learning Data Science Were looking for a Quantitative Analyst - Machine Learning Data Science to independently validate highâimpact models across credit risk, financial crime, and advanced analytics use cases. This is a handsâon technical role. What You'll Be Doing Independent validation of machine learning models across: Credit risk models Propensity and behavioural models Financial crime models (fraud and AML) Applying advanced ML techniques, including: Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks) Unsupervised learning (clustering, isolation forests) Managing model risk across the endâtoâend model lifecycle, including: Feature engineering and data preparation Model training, evaluation, and selection Production deployment and monitoring Building and reviewing models in Pythonâbased environments Partnering closely with Risk, Technology, and Business stakeholders Ensuring models meet governance, performance, and scalab...
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