Forensics Specialist
Nairobi, Kenya
Applications have closed
Safaricom
Discover Safaricom's mobile, data, and M-PESA services in Kenya. Seamless connectivity, innovative solutions, and exclusive offers await you!Reporting to the Chapter Lead, Fraud Investigations , the role holder is responsible for carrying out Fraud Investigations, Fraud Risk assessments, Complex data analysis, Systems Forensic acquisitions & analysis, Professional report writing, expert witness in court, respond to fraud related court cases filed against safaricom and manage customer fraud related escalations.
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 set and review acceptable risk thresholds in partnership with business
- Identifies and assesses risk within business projects and proposed change to processes and systems and understand the resource costs to address potential risks
- Evaluates existing controls and implements improvements that reduce residual risk
Forensic reviews and Investigations
- Able to Lead/undertake fraud investigations of cases assigned.
- Able to generate and report insights arising out of investigations.
- Able to prepare and respond to fraud cases filed against Safaricom in court.
- Can represent Safaricom before court on fraud related matters.
- Propose recommendations to improve control weaknesses identified during investigations.
- Follow up on implementation of Fraud investigations controls recoemmendation.
- Up to date on latest forensics trends and certifications
- Can apply Criminal law, Penal code, Kenya Information and Communications ACT & The Computer Misuse and Cybercrimes ACT during investigations to prepare proper evidence files that can be used for litigation process
- Posses fraud management certification like CFE and can use the principles to carry out complex investigations
- Able to manage and strengthen bonds with Law Enforcement Agencies, Criminal/Civil Justice system, Prosecutions agency and other Industry & non-industry players to enhance co-operation on mutually beneficial information, fraud investigations, asset tracing & recovery etc.
- Able to maintain a close working relationship between Legal and regulatory departments.
- Manage a robust and risk-based intelligence-gathering network in all areas of business.
- Able to conduct digital Forensic acquisition and analysis investigations.
Data analytics and Mining
- Proficient in data mining using multiple toolsets from different platforms including big data and cloud.
- Ability to do broad analytics using a variety of analytical tools across multiple environments
- Can define short term analytical roadmap for emerging fraud trends.
- Ability to track RCA for complex frauds to failure point using analytics
- Ability to setup multi-source rules smart rules and insights
- Ability to create probe rules for future emerging risks
- Ability to lead squads
Automation, reporting and tooling
- Understanding of fraud risk landscape for GSM/MPESA frauds.
- Can identify opportunities in collaboration with Stakeholders to minimize manual handshakes of data and reports
- Engagement with Data science and big data teams to solve complex fraud investigations.
- Defines Reporting Automation Roadmap aligned with stakeholders.
- Consistently delivers high quality self-service & automated solutions
- Ability to design performance metrics for automated controls
- Ability to quickly and efficiently identify performance gaps in automated controls and implement fixes
- Internationally recognized certification in Software Development
- Can develop complex smart rules to automate fraud controls
- Can develop AI/ML models for automated investigations
- Bachelor's degree in a Business or Computing related discipline.
- Certification in a fraud related discipline, in particular a Certified Fraud Examiner (CFE).
- Certification in Digital forensics.
- 5 years experience in Data analysis.
- Atleast years of proven hands on fraud management experience in M-PESA systems environment and knowledge of GSM network, infrastructure and ecosystem.
- Good knowledge of GSM network business models and processes;
- A conceptual thinker able to work independently, with ability to wade through data and arrive at conclusions
- Good communication skills - written and verbal - to succinctly present findings and communicate with a variety business partners;
How to Apply
If you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to update your candidate profile on the recruitment portal and then Click on the apply button. Remember to attach your resume.
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
Tags: Analytics Automation Big Data Cloud Data Analytics Forensics GSM Risk analysis Risk assessment
Perks/benefits: Career development Startup environment
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