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.
futures? We are seeking a Credit Analytics & Modelling Manager to turn data into actionable insights perform quantitative analysis for statistical and modelling data. Analysis of historical data, data cleaning selection, modelling, and performance evaluation Develop analytic solutions using outputs from models in credit provisioning and capital assessment. Development of models in multiple programming languages Develop and maintain performance of the models. Support models throughout the model lifecycle, including governance, model reviews and
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:
coordinate analytics and business intelligence models, creating visual data representations, and implement align with business goals. Business Intelligence Models : Establish and coordinate analytics and business descriptive models, including but not limited to Propensity to Pay, discount and settlement models, and commission commission rate models. Finance and Legal Collections: Work with finance and legal collections teams on on fair value, amortized cost modeling, and other financial models. Qualifications BSc in Business Data
coordinate analytics and business intelligence models, creating visual data representations, and implement align with business goals. Business Intelligence Models : Establish and coordinate analytics and business descriptive models, including but not limited to Propensity to Pay, discount and settlement models, and commission commission rate models. Finance and Legal Collections: Work with finance and legal collections teams on on fair value, amortized cost modeling, and other financial models. Qualifications BSc in Business Data
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
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