clients in form of solution conceptualisation, modelling, design, and implementation of client focused coordination, project management, commercial modelling, solution implementation, solution stabilisation financial decision-making through advanced analytical modelling, using large sets of data. • The secondary focus solutions using appropriate fleet and network design modelling. • Driving “cost to serve” optimisation by principals or supply chain environment • Advanced Excel modelling and analytical skills • Advanced skills in Power
coordination of all content-related topics for a group of women's health brands for sub-Saharan Africa regions. Drives years of experiences in Marketing & Sales // Women's Health experience will be advantageous // Experience
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
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
& Modelling Manager Are you an expert in credit risk with a passion for data analysis and model development help analyze large datasets, develop innovative models, and implement strategies that enhance credit decisions quantitative analysis and modeling. - Develop and maintain credit risk models using multiple programming or credit risk. - Proficiency in credit risk modelling, including IFRS9. - Strong analytical skills and
Responsibilities: