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
background Experience with physics and reality modelling, 3D graphics, hardware control, motion feedback
Implements a product management, team-based, operating model that is business aligned and ensures an agile response
data integration work, including developing data model. Maintaining a data warehouse and analytics environment
data integration work, including developing data model. Maintaining a data warehouse and analytics environment
data analytics tools and techniques like data modelling & visualisation, wireframing, ETL. Excellent
that it can be translated into a specific data model Further refining the physical design to meet system