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 industry is a plus. - Strong Organizational and Time Management Skills- The ideal candidate must have
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 industry is a plus. - Strong Organizational and Time Management Skills- The ideal candidate must have
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
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
Db2, MS SQL, Oracle, Netezza, and dimensional modelling. (f) Should have ability to decode/understand Db2, MS SQL, Oracle, Netezza, and dimensional modelling. (f) Should have ability to decode/understand
Db2, MS SQL, Oracle, Netezza, and dimensional modelling. (f) Should have ability to decode/understand Db2, MS SQL, Oracle, Netezza, and dimensional modelling. (f) Should have ability to decode/understand
DevOps teams. Develop and deliver the front-end part of new features of an existing application. Collaborate Contribute to the EPSza Angular design system and to part of the related developer community. Provide technical back-end architect and product support technicians as part of a DevsOps culture. Experienced in designing developing
Location: Johannesburg, CBD JOB CONTEXT: Work as part of the SWIFT CBPR protocol implementation project and deploy high-quality software solutions in a timely manner. Collaborate with cross functional teams