Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Manager is is a modeling expert that applies a credit risk background in the telecommunication industry. The role statistical and modeling data. Model creation and Management. Development of models in multiple programming Telecommunications or credit risk. Experience in Credit risk modelling including IFRS9 is preferred.
Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Manager is is a modeling expert that applies a credit risk background in the telecommunication industry. The role statistical and modeling data. Model creation and Management. Development of models in multiple programming Telecommunications or credit risk. Experience in Credit risk modelling including IFRS9 is preferred.
In the midst of challenging times in South Africa, Liberty offers you an opportunity to reshape your career and embrace new possibilities . We believe that now is the time to pause, reflect, and focus on personal and professional growth. Your journey with Liberty begins and ends with family. We valu
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
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
aspects of the deal process: including financial modelling, credit and legal analysis, and presentations Prepare and evaluate business case and financial models. Manage various transaction processes. Develop/strengthen Prepare valuations, including detailed financial models. Qualified CA(SA) CFA Qualification advantageous finance essential Strong experience in credit, modelling and deal process Negotiable based on experience
aspects of the deal process: including financial modelling, credit and legal analysis, and presentations Prepare and evaluate business case and financial models. Manage various transaction processes. Develop/strengthen Prepare valuations, including detailed financial models. Qualified CA(SA) CFA Qualification advantageous finance essential Strong experience in credit, modelling and deal process Negotiable based on experience
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives
medium term forecast via the internal forecasting model to ensure that the forecast is accurate and reflective evaluate possible risks and opportunities for new model introductions. Prepare volume studies for FBU and Excel to ensure that risks and opportunities of model introductions are highlighted. Prepare input MPL them to continue with their leg of the process. Model mix analysis to evaluate financial impact versus forecasting model, without it impacting on demand. Run-in and run-out planning of model types and model derivatives