Forensics Specialist at Safaricom Kenya

JOB DESCRIPTION

• 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.

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 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

QUALIFICATIONS

• 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;