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
Warehouse. Provide world class services in the modelling, design, development, preparation, implementation data processing systems; Database design, data modelling and Data Warehousing experience; Good understanding
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
Responsibilities: Analytical Modeling: Translate business requirements into analytical models to identify trends
implementing Power BI solutions. Proficiency in data modeling, DAX formulas and data visualisation best practices
implementing Power BI solutions. Proficiency in data modeling, DAX formulas and data visualisation best practices
/ machine learning techniques Validate and test models Review and update data science policies Apply now
and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases
and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases