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-
Intelligence solutions, with specific focus on the data modeling using ZAP BI. Qualifications and Experience: Relevant accounting is a plus Experience with Azure Data Lake, Data Factory, SQL Data Warehouse is a plus Experience Experience with predictive data modelling is a plus Apply Now For more IT jobs, please visit www.networkrecruitment
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
for the impairment and capital models (such as PD, LGD and EAD models) and using IFRS9 standards. You make a difference by providing input to the credit models. Education: Honours Degree in a Statistical, Mathematical risk model development or validating models. Model development experience in impairment models including including PD, LGD, EAD and IFRS9 model building experience. Economic capital model development. Experience with
for the impairment and capital models (such as PD, LGD and EAD models) and using IFRS9 standards. You make a difference by providing input to the credit models. Education: Honours Degree in a Statistical, Mathematical risk model development or validating models. Model development experience in impairment models including including PD, LGD, EAD and IFRS9 model building experience. Economic capital model development. Experience with
will be a basic salary plus commission. Starting salary is R 14 – 17 K CTC plus commission. Quote reference
will be a basic salary plus commission. Starting salary is R 14 – 20 K CTC plus commission. Quote reference
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