What we are looking in you:
• Bachelor’s degree in computer engineering, science, or a related subject.
• At least 5 years of experience in fraud monitoring, risk, audit, or data analytics.
• Proven ability to utilize tools such as Python, Power BI, and other analytics platforms to extract insights, identify complex fraud patterns, and support strategic decision-making.
• Extensive knowledge of telecommunications systems, network protocols, and industry-specific fraud patterns, with the ability to anticipate emerging threats.
• Expertise in developing and implementing proactive security strategies using Robotic Process Automation (RPA) and advanced analytics to enhance fraud prevention, streamline detection, and reduce investigation case volumes
• GSM Forensic Analysis is essential
• Strong capability to lead investigations, mentor junior analysts, and collaborate across technical and operational teams to drive fraud risk management initiatives.
• Telecommunications Expertise: In-depth knowledge of telecommunications systems, network protocols, and industry-specific fraud patterns.
• Data Analytics: Demonstrated proficiency in leveraging data analytics tools such as Python, Power BI, and other relevant platforms to extract insights, identify fraud patterns, and support investigative decision-making.
• Proactive Security and Automation: Ability to develop and implement proactive security strategies aligned with emerging fraud trends, leveraging Robotic Process Automation (RPA) and data analytics to enhance fraud prevention, streamline detection processes, and reduce investigation case volumes.