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;
How To Apply
