Fraud Operations Analyst SAFARICOM

Reporting to the Chapter lead, Fraud Investigations, the individual is responsible for carrying out Fraud Investigations, data analysis, Systems Forensic acquisitions & analysis and manage customer fraud related escalations.

Responsibilities

RESPONSIBILITIES

Risk Analysis, and Audit

• Proactively conduct Fraud Reviews in critical or high fraud risk areas across the business.
• Able to develop workflows for new and existing data.
• Can develop standard monitoring reports to monitor KPI performance.
• Can engage internal and external partners to review and present insights.

Forensic reviews and Investigations

• Able to conduct forensic acquisition, storage and analysis of electronic evidence from electronic devices.
• Analyze jailbroken/rooted devices for exploits and offer solutions on security of the devices.
• Detect and investigate SIM box fraud, call termination fraud interconnect bypass and other GSM Telecommunications fraud.
• Assist in reverse-engineering fraudulent telecom apps or scripts used in revenue leakage and fraud exploitation.
• Able to conduct and manage fraud investigations of cases assigned.
• Able to identify links between objects, events, people and location using link analysis methods to develop evidence flow.
• Able to prepare planned and Adhoc reports on insights arising out of investigations done.
• Able to represent Safaricom before court on fraud related matters.
• Can propose recommendations to improve control weaknesses identified during investigations.
• Understands and utilizes Chain of custody principles while handling evidence.
• Able to conduct forensic acquisition and storage of electronic evidence from electronic devices.
• Able to coduct analysis and reporting of electronic evidence.
• Can report to law enforcement agencies, cases of staff engaged in Fraud against customers and/or Safaricom.
• Able to engage and guide law enforcement agencies with relevant legally acceptable information to apprehend and prosecute suspects.
• Able to create and maintain a robust and risk-based intelligence-gathering network in all areas of business.

Data analytics and Mining

• Able to query/mine data from different sources using different scripting tools e.g. SQL, Python etc.
• Able to develop workflows for new and existing data.
• Uses a variety of analytical tools to give insights and derive trends for given fraud scenarios.
• Ability to carry out second level analysis on emerging fraud trends.
• Highly proficient in data analysis using multiple toolsets.
• Can develop audience specific insights using presentation tools.
• Can develop standard monitoring reports to monitor KPI performance.
• Can engage internal and external partners to review and present insights.

Automation, reporting and tooling

• Understanding of fraud risk landscape for GSM/MPESA frauds.
• Specialized fraud risk knowledge in one specific business area.
• Ability to engage different stakeholders required in automation journey.
• Can identify opportunities in collaboration with Stakeholders to minimize manual handshakes of data and reports.
• Ability to design practical automated solutions.

Must Have Technical / Professional Qualifications

• Minimum education qualifications required – Bachelor’s degree in a Business or Computing related discipline.
• Good working knowledge of Agile methodology ways of working.
• Certification in a fraud related discipline, such as Certified Fraud Examiner (CFE).
• Certification in Digital forensics and/or incident response will be an added advantage.
• Proven hands-on fraud investigations experience in a GSM Company, Fintech and/or Systems Forensic systems audit firm environment for a minimum period of three (3) years.
• Knowledgeable in identifying indicators of fraud through data-mining and analysis exercises.
• Good knowledge of GSM network business models and processes.
• A conceptual thinker able to work independently.
• Good communication skills – written and verbal – to succinctly present findings and communicate with a variety business partners.