Head of Revenue Assurance & Fraud Management

About the role

The Head of Revenue Assurance & Fraud Management protects MVola's revenues, customer funds and financial assets from fraud, revenue leakage, transaction-processing failures and control weaknesses. The role leads the function across mobile money, digital banking, payments, lending, savings, cards, merchant, agent and partner ecosystems, and plays a leading business role in implementing and operating MVola's new RAFM platform. It works closely with Risk, Finance, Technology, Data, Compliance, Cybersecurity, Operations, Product and Commercial teams.

Key responsibilities

• Develop and run the RAFM strategy, framework and annual assurance plan, maintain the fraud and revenue-assurance risk universe, set policies, controls, KRIs and escalation thresholds, and report regularly to management and governance committees.
• Ensure end-to-end coverage of all revenue streams and transactions, identify, quantify, prevent and recover revenue leakage, and establish automated reconciliations across transaction platforms, core banking, general ledger, bank/settlement accounts and partners.
• Manage fraud risks such as account takeover, identity fraud, SIM-swap fraud, lending fraud, payment/card fraud, commission abuse, agent collusion and internal fraud, develop transaction-monitoring rules and risk profiles, and lead investigations into material fraud incidents.
• Act as a key stakeholder in the new RAFM platform: define local business and functional requirements, translate fraud typologies into automated controls, integrate data sources, lead user acceptance testing, configure rules, alerts, workflows and dashboards, and drive post-implementation optimization.
• Embed RAFM assessment in new-product and change-management processes, review new products and major changes for fraud and leakage risks, and ensure controls are in place before launch.
• Use data analytics and automation to build dashboards on fraud losses, revenue leakage and reconciliations, and evaluate advanced analytics and machine learning opportunities.