Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
TypeScript, etc.
Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end
existing Qlikview models.
Data Clean up from source.
Developing new Qlikview models.
Maintaining
CSS, C#, TypeScript, etc. Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end existing Qlikview models. Data Clean up from source. Developing new Qlikview models. Maintaining automation
statistical models and algorithms for actuarial assessments - Use of predictive modelling techniques to healthcare analytics. - Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. - Contribute to research and development projects plus. - A keen interest in AI and predictive modelling, with the ability to apply these technologies
statistical models and algorithms for actuarial assessments - Use of predictive modelling techniques to healthcare analytics. - Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. - Contribute to research and development projects plus. - A keen interest in AI and predictive modelling, with the ability to apply these technologies
projects.
Data Modeling: Design and implement logical and physical data models that translate business business requirements into data solutions. Ensure data models are scalable, flexible, and adhere to best practices expertise in data modeling techniques, including conceptual, logical, and physical data models.
derive insights utilising statistical and actuarial models to inform product development, benefits design statistical data - update actuarial forecasting models, refine and collect appropriate data for actuarial and company, and update and maintain forecasting models. Apply the latest procedures, standards and trends actuarial analysis, and/or maintaining actuarial models for risk assessment of insurance products will
derive insights utilising statistical and actuarial models to inform product development, benefits design statistical data - update actuarial forecasting models, refine and collect appropriate data for actuarial and company, and update and maintain forecasting models. Apply the latest procedures, standards and trends actuarial analysis, and/or maintaining actuarial models for risk assessment of insurance products will
creating and implementing enterprise architecture models and improvements to current functions and processes advice and expertise on architectural principles, models and building blocks. Improve alignment, increase performance modelling, benchmarking and financial analysis. Knowledge of business models, operating models, financial financial models, cost-benefit analysis, budgeting and risk management Familiarity with information management