responsibilities include:
Operating Model and business processes.
Create financial models. Management Information analysis Business Information models Analysing data trends Adviceworx Operating Model & business processes. Building data models Automating data models Update dashboards
initiatives, notably in the form of financial modelling and developing slides/ presentations for internal with ad-hoc analysis. Review/ develop financial models and provide feedback from both an analytical and cost plans to reduce their Opex. Implement budget model collaborating with FP&A team for integration data structure and tables for comprehensive budget model development. Create budget Income Statement, Balance of the organization. Proficiency in financial modelling and MS Excel; experience with financial planning
initiatives, notably in the form of financial modelling and developing slides/ presentations for internal with ad-hoc analysis. Review/ develop financial models and provide feedback from both an analytical and cost plans to reduce their Opex. Implement budget model collaborating with FP&A team for integration data structure and tables for comprehensive budget model development. Create budget Income Statement, Balance of the organization. Proficiency in financial modelling and MS Excel; experience with financial planning
effective costing models across the business..
experience. Duties will include: Target Operating Model Business Architecture Cataloguing of services and Qualification At least 15 years exp with Target Operating Model. Market Related
Operating Models with finesse and flair. Experience in the following is required: Target Operating Model Business
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
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