SAS Visual Investigator (VI) Developer

3 - 7 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will utilize your expertise in SAS Visual Investigator (SAS VI) to enhance fraud detection and risk management initiatives. Your responsibilities will include analyzing complex data, identifying anomalies, investigating suspicious activities, and developing visualizations and dashboards to present insights to stakeholders. Your contributions will play a crucial role in identifying patterns, generating alerts for potential fraud risks, and continuously improving fraud prevention strategies. Key Responsibilities: - Design and implement solutions in SAS VI for fraud detection, risk management, compliance, and anomaly detection. - Investigate suspicious activities by analyzing large datasets to identify patterns and potential fraud risks. - Develop and maintain dashboards and visualizations to effectively communicate insights and alerts to stakeholders. - Utilize SAS VI to detect and alert to fraudulent activities, ensuring compliance and timely intervention. - Collaborate with teams to seamlessly integrate SAS VI with other systems for comprehensive fraud management. - Continuously assess and enhance fraud detection processes and system performance. - Ensure data quality and integrity through rigorous validation and troubleshooting in SAS VI. - Stay informed about the latest trends and best practices in fraud detection, compliance, and anomaly detection. Qualifications: - Proficiency in using SAS VI for fraud detection, risk management, and anomaly detection. - Experience in investigating suspicious activities, identifying patterns, and generating alerts. - Ability to develop dashboards and visualizations to effectively present findings. - Knowledge of integrating SAS VI with other systems for fraud management. - Demonstrated capability in ensuring data quality and improving fraud detection processes. - Bachelor's degree in Computer Science, Data Analytics, Statistics, or a related field.,

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