work closely with cross-functional teams to assess risk, develop models, and drive innovative solutions
work closely with cross-functional teams to assess risk, develop models, and drive innovative solutions
recovery efforts, and BPO operations. Key Responsibilities: Backend SQL Management: Develop, maintain, and Provide strategic advice based on data insights. Management and Leadership: Lead and mentor the BI team.
recovery efforts, and BPO operations. Key Responsibilities: Backend SQL Management: Develop, maintain, and Provide strategic advice based on data insights. Management and Leadership: Lead and mentor the BI team.
the organization's payment systems. Client Risk Management: Balance client's needs for accurate fraud industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
the organization's payment systems. Client Risk Management: Balance client's needs for accurate fraud industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
Data Universe, a crucial database central to operational strategies. The role involves developing and optimization. Rule and Model Development : Create and manage rules and models for identifying optimal contact Improvement : Stay updated with the latest data management technologies and methodologies, continuously Experience : 5 years in data analysis, data management, or similar roles; advanced analytics experience; experience; proficiency in SQL and database management. Skills : Strong analytical and problem-solving abilities
Data Universe, a crucial database central to operational strategies. The role involves developing and optimization. Rule and Model Development : Create and manage rules and models for identifying optimal contact Improvement : Stay updated with the latest data management technologies and methodologies, continuously Experience : 5 years in data analysis, data management, or similar roles; advanced analytics experience; experience; proficiency in SQL and database management. Skills : Strong analytical and problem-solving abilities
models to optimize customer segmentation, credit risk assessment, and fraud detection. Utilizing big data
models to optimize customer segmentation, credit risk assessment, and fraud detection. Utilizing big data