Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
including Business Continuity, Third-Party, Data, Model, Fraud, and Technology (cyber or information security) engagements. Implement robust data governance and model risk management practices to ensure the accuracy completeness, and reliability of bank data and modelling processes. Lead the fraud risk management program managing Business Continuity, Third-Party, Data, Model, Fraud, and Technology risks. Deep knowledge of
including Business Continuity, Third-Party, Data, Model, Fraud, and Technology (cyber or information security) engagements. Implement robust data governance and model risk management practices to ensure the accuracy completeness, and reliability of bank data and modelling processes. Lead the fraud risk management program managing Business Continuity, Third-Party, Data, Model, Fraud, and Technology risks. Deep knowledge of
background Experience with physics and reality modelling, 3D graphics, hardware control, motion feedback