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Data Analysis and Modelling:
extensive experience in IT/software development, data modelling, and data visualization. Qualifications: National cloud-based and on-premises Experience in data modelling, data partitioning, and implementing data security and analyze requirements Design and develop data models and data integration solutions Implement data security
Knowledge of Python and R Understanding of predictive modelling techniques and machine learning algorithms DUTIES: outcomes Identify risks associated with predictive modelling and mitigation thereof Integrate various datasets
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
Understanding and implementation of generative AI models and prompt engineering. Experience in creating management. AI Implementation Implement generative AI models for data analysis and prediction. Leverage AI for decision-making processes. Develop effective prompts for AI models to generate useful and relevant outputs. Continuously
cloud-based and on-premises.
cloud-based and on-premises
background Experience with physics and reality modelling, 3D graphics, hardware control, motion feedback