databases, preferably Postgres, SQL Server Data modeling
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
Talend, etc. Knowledge of data modelling and dimensional modelling concepts. If you are interested in
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
Camunda The candidate should have experience in modelling and designing a BPMN 2.0 workflows. Must have on implementing and end-to-end business process model for any business domain. Experience in Banking domain
Competencies - Oracle PL/SQL packages, Oracle 12C, Data modeling concepts, Java. Secondary Competencies – Agile
background Experience with physics and reality modelling, 3D graphics, hardware control, motion feedback
Johannesburg and Durban offices Maintain spreadsheet models to perform the required reviews. Review and evaluate
and maintaining REST APIs Experience with data modeling and database schema design Experience with Gitlab