Job Description
Job Description
- Lead the design, development, and deployment of machine learning models for risk scoring, fraud detection, and behavioural analytics
- Drive feature engineering, model training, and model monitoring pipelines using large-scale datasets
- Build and maintain a scalable data infrastructure in collaboration with the Data Engineering team
- Manage and mentor a team of data scientists and engineers, ensuring high standards in model accuracy, interpretability, and governance
- Translate complex business problems into data-driven solutions and communicate technical insights clearly to stakeholders
- Lead model validation, backtesting, and performance analysis for new and existing models
- Develop and implement data quality checks, pipelines, ...
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