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 relevant certifications are a plus. - A keen interest in AI and predictive modelling, with the ability to apply compliance knowledge in the healthcare industry is a plus. - Strong Organizational and Time Management Skills-
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 relevant certifications are a plus. - A keen interest in AI and predictive modelling, with the ability to apply compliance knowledge in the healthcare industry is a plus. - Strong Organizational and Time Management Skills-
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
Strive to reach mature levels on the Continuum model by building own and team competence to work in a ensuring full team engagement. 2 ∙ Estimate the size and complexity of the work within the team and managing update system or object data models and correlate these with corporate models. ∙ Work with database design administration teams to translate object and data models into appropriate database schemas within design
Strive to reach mature levels on the Continuum model by building own and team competence to work in a ensuring full team engagement. 2 ∙ Estimate the size and complexity of the work within the team and managing update system or object data models and correlate these with corporate models. ∙ Work with database design administration teams to translate object and data models into appropriate database schemas within design
managing the Data Architecture landscape. Data modelling and to assist when working with complex Data and architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master Data Management, SAP
quantitative model building and data analytics. Experience with machine learning model deployment and
qualification/certificate Driver’s License. Min 1 -6 plus working years’ experience as a IT Software Scrum
Project planning (timelines / prioritization – model setting up tickets in Jira). Translate client needs