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
predictive models. Increase the profitability and efficiency of business units using predictive models and BI Experience in developing and implementing predictive models. Strong communication and presentation skills.
Warehouse. Provide world class services in the modelling, design, development, preparation, implementation data processing systems; Database design, data modelling and Data Warehousing experience; Good understanding
team. This role involves developing analytical models and data visualizations to support business decision-making Responsibilities: Create and maintain analytical models and data visualizations. Provide operational support
strong foundation in statistical analysis, data modeling, and business intelligence. Adept at transforming erience in a retail environment
Qualifications
report writing.
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
deliverables, and design and develop reporting models based on business needs. Change or modify existing existing reports as needed Enjoy a Hybrid work model and only come into office twice a week. Skills: Experience
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB