refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation
L performance areas:
Technical Data Management and Analytics
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
standards, develop budget, and cost controls and obtain data regarding types, quantities, specifications, and
time to time to work outside office hours and on weekends.
Only short-listed candidates will
Monday – Thursday 8: to 17:00 Friday 16:30, no weekends. Matric (with pure math's) 2-3 years exp, maybe
Monday – Thursday 8: to 17:00 Friday 16:30, no weekends. Matric (with pure math's) 2-3 years exp, maybe
advantage
Duties
financial data from various businesses across the group to provide reports that offer data-driven responses cash flow forecasting. Participate in strategic data analysis, research, and modeling for senior leadership complex data into actionable information.
involvement
Power BI solutions. Proficiency in data modeling, DAX formulas and data visualisation best practices. Strong