Fraud Operations Analyst at Safaricom Kenya

Job Description

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.
• 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

Forensic reviews and Investigations

• 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 conduct 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.

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 financial environment for a minimum period of 2 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