and control. Data Modelling Function: Maintain a competency of logical data modelling to depict business and modelling as well as general logical modelling concepts. Reverse and forward engineer models from subject matter experts. Educate the IT team using models, on the design impact from changes and developments
execution that includes valuations, financial modelling, market and investment research and analysis etc M&A
Conduct model preparation and oversee solution monitoring
Prepare detailed technical reports
Skilled in 3D CAD modeling
Ability to work independently
Excellent
for data analysis, data manipulation and data modelling and will be responsible for understanding and
reporting Developing and maintaining financial models, dash boards, trend analysis Budgeting and forecasting experience is essential Financial and Pricing Modelling is required Python– would be advantageous. R 800000
influencing Ability to identify the most relevant modelling approach based on the type of problem and available including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
influencing
communicating business-process-related knowledge through modelling; simulating and analyzing current and future states; experience in applying formal business process modelling or business analysis methodologies A deep understanding organization is essential Experience in applying process modelling standards such as BPMN and ECP Knowledge of and of design specifications Understanding of data modelling and the ability to perform basic SQL database
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies