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

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.