Monitoring Transactions: Regularly review and analyze account usages patterns, call records to identify potential fraudulent activities, financial transactions, online activities and account behaviors to identify suspicious patterns or anomalies.
Data Analysis: Utilize advance data analysis tools and techniques to examine large datasets for potential fraud indicators and trends.
Investigation: Conduct thorough investigations into suspected fraudulent activities, gathering evidence and collaboration with other groups to validate findings.
Fraud Prevention: Develop and implement fraud prevention strategies, including the enhancement of security measures and the establishment of protocols to identify and address potential risks.
Risk Assessment: Assess and quantify fraud risk, working to implement measures that reduce vulnerabilities and potential points of exploitation by fraudsters.
Reporting: Prepare detailed reports on identified fraud cases, providing insights into patterns and recommending measures to improve fraud detection and preventions. Present detailed reports on fraud i
Collaboration: Work closely with cross-functional teams to share information, improve processes and enhance overall fraud prevention.
Compliance: Stay informed about relevant laws and regulations related to fraud prevention and data privacy, ensuring the organization’s practices align with countries legal requirement
Technology Utilization: Leverage advanced fraud detection tools, software and technologies to enhance the efficiency and accuracy of fraud prevention measures.
Training and awareness: Provide training to internal teams on fraud prevention best practices and awareness to foster a culture of vigilance.
Continuous Improvement: Stay updated on emerging fraud trends, technologies and industry best practices and adapting strategies and tolls to effectively counter evolving threats.
Leadership: Oversaw the successful execution of key projects, ensuring timely delivery and executed few strategic plans to align team goals s with organizational objectives, driving growth and innovation.
Experience: 10+ years
Experience: 10+ years
Experience: 5 - 10 years
Contributed significant fraud prevention from combined early detection, faster detection of existing and new modus, accurate fraud treatment, prevention and quick resolution and mitigating actions. Successfully spearhead the design and implementation of a comprehensive fraud prevention strategy within a telecommunications organization. Introduced advanced trending detections algorithms to analyze transactional data, enabling the identification of fraudulent patterns in real time. Implemented fraud awareness campaign that led to a significant reduction in reported fraud. Successfully identified and mitigated and International Revenue Share Fraud (IRSF) attack targeting the telecommunications network. Implemented enhanced monitoring technique to detect unusual call patterns and rapidly identified the fraudulent activity involving high-cost international calls. Collaborated with global telecom partners to block and terminate compromised connections. Detected and successfully countered a large-scale Wangiri scam targeting telecom subscribers. Implemented proactive trending and monitoring system to identify the rapid surge in one-ring calls, typical sign of Wangiri fraud. Collaborated with cross-functional teams, initiated network level controls and promptly blocked the fraudulent call sources. Led the initiative to create a unified database by consolidating disparate data sources into a centralized system. Develop a streamlined and efficient process for collecting and analyzing data from various network elements, call records and user behavior. As a result, the organization experienced a remarkable improvement in response time to potential fraud incidents. Implemented an innovative approach to detect and prevent unusual reloading patterns. Utilized data analysis and behavioral modeling to identify abnormal recharge activities that were indicative of potential fraud. Led the development and implementation of near real-time monitoring system which resulted in the prompt identification of an emerging unusual reloading scheme. Develop and executed a comprehensive strategy to combat SMS spamming. Leveraged advanced analytics to identify and blocked suspicious patterns associated with spam message. Implemented near real-time monitoring system that successfully intercepted and neutralized SMS spam campaign, preventing widespread inconvenience to customers and protecting the network from potential security vulnerabilities. Created and implemented robust strategy to counter voice spamming threats. Utilized advance voice analytics and call pattern recognition tool to identify and blocked fraudulent calls associated with spamming activities.
Experience: 1 - 2 years
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