integrity of data used in financial models • Create valuations models and formulate investment recommendations
integrity of data used in financial models • Create valuations models and formulate investment recommendations
performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
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
clients are invested in line with its respective model portfolio taking any client specific requirements monitoring markets and instruments to ensure that all model portfolios are implemented efficiently. Ensure that through completely and ensure execution across our model and clients portfolios. Conduct technical analysis and UNPRI policies. Ensure that all systems and models remain up to date Ensure that approved investment followed through and ensure execution across our model and clients portfolios. Ensure that you use the
clients are invested in line with its respective model portfolio taking any client specific requirements monitoring markets and instruments to ensure that all model portfolios are implemented efficiently. Ensure that through completely and ensure execution across our model and clients portfolios. Conduct technical analysis and UNPRI policies. Ensure that all systems and models remain up to date Ensure that approved investment followed through and ensure execution across our model and clients portfolios. Ensure that you use the
Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
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