• Employer: Safaricom Telecommunication Ethiopia

• Employment: Full-Time | Permanent

• Place of Work: Addis Ababa, Addis Abeba - Ethiopia

• Deadline: December, 18/2024 (9 days left)

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.

Duties & Responsibilities:

• 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

Job Requirements

• At least 2 years of experience with Relational and Non-Relational Databases, including Oracle, 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

 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

How to Apply

• Interested and qualified applicants can apply using THIS LINK