Job Purpose
The role is to support the detection, investigation, mitigation, and prevention of fraudulent telecommunications activities and potential leakage by executing and monitoring fraud controls, analyzing risks, and collaborating with stakeholders to protect the company's financial and operational interests.
Key Accountabilities
- Develop, configure, and maintain fraud detection rules and controls within RAFM systems.
- Monitor fraud alerts, traffic patterns, and system activities to identify potential fraud and leakage.
- Investigate suspicious activities and escalate cases for timely resolution with required actions from responsible teams.
- Analyze fraud trends and provide recommendations for corrective and preventive actions, including mitigation plans if any.
- Develop and enhance fraud monitoring tools, reports, and controls targeting fraudulent cases such as: SIMBOX, IRSF/DRSF, Wangiri, VAS Subscription, Payment, SMS/Voice/Data bypassing, 3rd-party service provisions, and other telecom frauds.
- Maintain the accuracy of data and reference information used in fraud management systems.
- Collaborate in monitoring RAFM system performance, system availability, and data integrity with recovery and backups.
- Collaborate with internal teams and external partners to strengthen fraud prevention measures.
- Keep abreast of emerging fraud risks, industry trends, and best practices.
- Support projects and other duties assigned by management.
Job Requirements
Education & Qualification
- Bachelor's degree in IT, Computer Science, Finance, Telecommunications, or a related field.
- Basic knowledge of databases, programming, and data analysis.
- Understanding of fraud management, risk assessment, or auditing principles.
- Good communication skills in English.
Working Experience
- Minimum 1 year of relevant experience in Fraud Management, Revenue Assurance, Network, Billing, Roaming, Interconnect, VAS, or System integration with 3rd-party platforms (Audit experience is preferred).
- Understanding of the telecom industry, including networks, billing processes, and fraud risks.
Specific Skills
- Data analysis, fraud detection, and risk assessment.
- Knowledge of SQL databases and programming languages such as Python, C#, .NET, PHP, VB, or Node.js. Experience with Big Data technologies and modern data analytics tools is an added advantage.
- Analytical thinking and problem-solving.
- Attention to detail.
- Collaboration and communication skills.
- Continuous learning mindset.
External Work Relations
- Engage with 3rd-party vendors and partners to support fraud management solutions and to set up the required controls.
Internal Work Relations
- Work closely with Network, IT, Billing, Revenue Assurance, Roaming, Interconnect, Information Security, Customer Experience, Regulatory, Risk, Finance & Accounting, and other related teams for the resolution of corrective or preventive actions.
Key Challenges
- Detecting increasingly sophisticated fraud schemes.
- Analyzing large volumes of data to identify emerging fraud risks.
- Adapting controls to new technologies and evolving fraud patterns.