Specialist - Fraud Detection, Safaricom Telecommunication Ethiopia
Role purpose:
To prevent, detect, enhance controls, and manage Fraud within Safaricom ET by proactively reviewing high-risk aspects, recommending changes to processes to reduce exposure, and using appropriate technology to enhance effectiveness and efficiency.
ย Key accountabilities and decision ownership:
- Proactively identify and report on all areas that are susceptible to Fraud under all service revenue streams.
- Proactively involved in identifying exposure to GSM and M-PESA fraud.
- Detection of fraud in GSM and M-PESA.
- Applying knowledge of existing Telecom and Financial Frauds in the detection of sophisticated fraud and anomaly types across multiple operators.
- Collect and analyze large volumes of data for potential fraud detection.
- Implement and monitor Fraud management controls in the Fraud Management system.
- Recognize patterns of fraud and suggest new methods of detection, mitigation, and prevention
- FMS, Non-FMS review, keeping up with changes in technology, and risk assessment of the network.
- Monitor and analyze and work on Alerts from different systems.
- Recommend policies and procedures to help identify Fraud leakage in all service revenue areas and reduce incidences of fraud within the organization.
- Responsible for user acceptance testing (UAT) on any changes and upgrades on key systems as a technical consultant for the fraud team
- Provide support and improve internal and external stakeholders
- Conducting timely Risk assessment
- Preparing detailed reports on findings
ย Core competencies, knowledge, and experience:
- At least 2 years of experience with Relational and Non-Relational Databases, including Oracle,ย PostgreSQL, Microsoft SQL Server, and MongoDB
- Strong Data Analytics experience using Python/R/SQL/ PLSQL and Power BI
- Knowledge of Machine Learning applications for fraud detection
- Experience with telecom data types e.g. CRM data, call records, customer data, and Mobile Money data.
- Experience in analyzing significant amounts of data and information and distilling it to key points
- Capability to accumulate, summarize, and interpret risk reports to business units, support units, and assurance units
- Strong Risk Analysis skills
- Data Analysis and Interpretation skill
ย Must have professional/Technical qualifications:
- A graduate with a degree in Engineering, Computer Science or IT
- Professional certification in Fraud Analysis, Business Assurance, Risk Management, Machin Learning or Information Systems
- Understanding of telecom and financial products, services, and transactions to spot irregularities or fraudulent activities.
- Have strong business acumen and developed commercial experience
- Highly developed interpersonal and communication skills
- High level experience and skills in working with stakeholders
- Communication and Reporting skills
Desired:
- Understanding of the organization's business (Telecom and Financial)
- Creative problem-solving and troubleshooting abilities
- Creativity in Fraud Detection: Pattern Recognition, Artificial Intelligence Machine Learning, and Psychological Insights
- Managing a changing environment
- Knowledge of fraud regulations- local and international
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Application Deadline: December 18, 2024