M-Pesa Fraud Manager

About the role

The M-Pesa Fraud Manager leads the prevention, detection, investigation and mitigation of fraud risks across Vodacash SA's mobile money ecosystem, protecting customers, assets and the organisation's reputation. The role works closely with AML/CFT, Internal Controls, Compliance, Risk, Operations and law enforcement, uses data analytics and technology to spot emerging threats, and keeps fraud management aligned with regulatory, governance and industry best practice.

Key responsibilities

• Lead the Vodacash SA M-Pesa fraud risk strategy and monitor transactions and agent/merchant activity for suspicious patterns such as commission fraud, float misuse, split deposits, SIM swaps and fake registrations, intervening quickly to prevent losses.
• Investigate suspected fraud cases, coordinate with compliance, risk and legal teams, gather evidence and apply actions such as account suspension or reversing fraudulent transactions.
• Strengthen fraud controls through regular risk assessments and update monitoring rules, thresholds and authentication measures.
• Develop and improve AI/ML-based fraud prediction models and report fraud incidents and metrics to senior management and regulators.
• Collaborate with AML/CFT, risk, operations, customer support, IT and sales teams, and run fraud awareness training for employees, merchants and agents.
• Configure and tune fraud controls on the M-Pesa platform, authorise preventive actions, escalate serious incidents, determine disciplinary actions and approve remediation initiatives.

Required profile

• Proven experience in fraud management, transaction monitoring, fraud investigations and loss mitigation in banking, telecom, mobile money, payments or fintech.
• University degree in Economics, Law, Computer Science, Engineering, Criminology or a similar field.
• ACFE, ACAMS, ICA certificate or similar; 1+ years of management experience.
• Relevant experience in data modelling, reporting and data analysis.

Required skills

• Fraud risk management and control design aligned with AML/CFT and governance standards.
• Transaction analysis, fraud pattern detection and data-driven decision making.
• Strong communication, stakeholder collaboration, leadership and emotional intelligence.