Posted:3 hours ago
By:Hiring Kenya
Company Details
Industry:
Information Technology and Services
Description:
Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects. With over 29 Million subscribers and an estimated market share of 67%, the Company has the widest modern mobile network coverage in Kenya and prides in its experienced shareholders, attractive tariffs, a nationwide network of effective dealers, high caliber staff and management enabling it to maintain its position as the region’s mobile market leader.
Job Description
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.
- Health & Safety
- Uphold the company code of conduct, policies and procedures, ensuring integrity and accountability in every aspect of your work
- All employees have a responsibility to adhere to safety, health, and wellbeing policies.
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;
Salary: Discuss During Interview
Education: Diploma
Employment Type: Full Time