is to develop and maintain long term financial models for the Group by providing accurate insights tailored Officer. Financial Modelling •Develop and maintain comprehensive financial models to support the equity for the Group. •Build scenario based financial models to evaluate the potential impact of market dynamics the use of machine learning and AI to automate models and forecasts and provide continuous process improvement assumptions, and ensure alignment of financial models with business objectives. •Bachelor's Degree in
Reference: JHB001514-MS-1 Jobe Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and and drive the improvement of data modelling and development of data maturity standards within Financial areas: Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
Personal Lines Pricing team through predictive modelling exercises and in-depth analytical investigations business objectives. Create and refine actuarial models to monitor business performance and support development initiatives. Taking ownership of lifetime value models and renewal strategies to maximize customer value value and retention. Utilize predictive modeling techniques to segment the client base and identify pricing pricing opportunities. Ensure models are accurate and fit for purpose, regularly monitoring their performance
Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically
efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically