frameworks and algorithm tuning
Qualifications
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
various economic modelling techniques (Input-Output modelling, multi-sector modelling, Cost Benefit Analyses Analyses, Socio-Economic Impact Modelling etc) Conduct relevant primary and secondary research using a econometric techniques (Input-Output modelling, multi-sector modelling, etc.) Experience in Socio-Economic
various economic modelling techniques (Input-Output modelling, multi-sector modelling, Cost Benefit Analyses Analyses, Socio-Economic Impact Modelling etc) Conduct relevant primary and secondary research using a econometric techniques (Input-Output modelling, multi-sector modelling, etc.) Experience in Socio-Economic
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
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
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
analysing and documenting a range of predictive credit models across the entire credit life cycle. Key Responsibilities Designs, constructs and documents appropriate models and strategies across the collection's life cycle collections and recovery results by integrating models and data-driven approaches into operational processes