communicating business-process-related knowledge through modelling, simulating, and analyzing current and future Excel, PowerPoint, Visio, Project)
Knowledge specifications
communicating business-process-related knowledge through modelling, simulating, and analyzing current and future (Word, Excel, PowerPoint, Visio, Project) Scoping, sizing, and planning all business aspects of a solution experience in applying formal business process modelling or business analysis methodologies A deep understanding organization is essential Experience in applying process modelling standards such as BPMN and ECP Knowledge of and of design specifications Understanding of data modelling and the ability to perform basic SQL database
in developing, implementing, and optimizing AI models and algorithms that support our business objectives
Responsibilities:
in developing, implementing, and optimizing AI models and algorithms that support our business objectives
Responsibilities:
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
within the context of an agile/DevOps delivery model. Implement robust automated test cases to ensure professional experience. 3 Years plus in a Mid to Senior role, more than 6 year plus total experience required
Master's degree is a plus. ▪ Certifications (AWS, GCP, Azure, Microsoft) a plus ▪ Proven experience as similar role, with a strong understanding of data modelling, data warehousing, and ETL processes. ▪ Comfortable
Engineering, or Statistics; a master's in Informatics is a plus. Proficiency in BI technologies (e.g., Microsoft and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases
Engineering, or Statistics; a master's in Informatics is a plus. Proficiency in BI technologies (e.g., Microsoft and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases