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
Responsibilities:
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
Business process modelling and documentation. Coordinate and quality assure process modelling by divisional business formal process modelling tool, such as Visio or Aris, and Business Process Model and Notation (BPMN)
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
to the development of cutting-edge programs and models that shape the organization's asset/liability strategy to hedging and capital modelling Implement the development of actuarial models, systems and processes related is most ideal Strong technical skills in modelling and/or coding as well as computer programming
to the development of cutting-edge programs and models that shape the organization's asset/liability strategy to hedging and capital modelling Implement the development of actuarial models, systems and processes related is most ideal Strong technical skills in modelling and/or coding as well as computer programming
analyzing vast datasets, developing predictive models, and optimizing collection strategies to enhance historical collection data. Develop predictive models to forecast debtor behavior, default rates, and analysis and modeling. Solid understanding of machine learning algorithms and statistical modeling techniques
analyzing vast datasets, developing predictive models, and optimizing collection strategies to enhance historical collection data. Develop predictive models to forecast debtor behavior, default rates, and analysis and modeling. Solid understanding of machine learning algorithms and statistical modeling techniques