Role purpose: To prevent, detect, enhance controls, and manage Fraud within Safaricom ET by proactively reviewing high risk aspects, recommend changes to processes in order to reduce exposure and use appropriate technology to enhance effectiveness and efficiency.
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 analyzing and working of 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 fraud team
· Provide support and improve internal and external stakeholders
· Conducting timely Risk assessment
· Preparing detailed reports on findings
Core competencies, knowledge and experience:
· 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 application 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 distill 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 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 and Machine Learning and Psychological Insights
· Managing a changing environment
· Knowledge of fraud regulations- local and international
How To Apply
If you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to update your candidate profile on the career portal and then Click on the apply button. Remember to attach your resume.
The closing date for receiving applications is December 18 ,2024.