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
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
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
Project planning (timelines / prioritization – model setting up tickets in Jira). Translate client needs