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
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