documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
business requirements, through a structured process, modeling, validating and translating it into business requirement contract subject to renewal in a hybrid working model Business Analysis: Investigate operational requirements requirements . Negotiate acceptance criteria. Plan own modelling activities, selecting appropriate techniques and choice of the modelling approach to be used Obtain input from and communicates modelling results to senior all levels of the organisation Business Process Modelling/Engineering based on BPMN Business writing skills
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
analytical calculations, empirical simulations, CAD models, and manufacturing drawings. The role demands strong empirical simulations. Checking and approving CAD models and manufacturing drawings. Experience and Qualifications
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
Generate costing reports Develop and maintain costing models Monitor purchase price variance Stock evaluation
projects. Design, deploy, and manage machine learning models to enhance decision-making and project outcomes applications. Develop and maintain documentation for AI models and digital solutions. Requirements: Bachelor's
planning
would be advantageous
Management: Oversee and guide electrical draughtsmen and modelers, ensuring their work aligns with project objectives