Data and Analytics Lead, Group Internal Audit

About this role

The role is for a Data & Analytics Lead in the Group Internal Audit function at Flutterwave, based in Lekki, Lagos. It combines audit with data engineering to create an AI-native internal audit capability for payments and banking operations. The role involves building data pipelines, monitoring agents, and a live Assurance Dashboard to surface exceptions, track risks, and demonstrate business value such as revenue protection and cost savings. The candidate will work across multiple business units to enable continuous assurance while supporting the audit function and governance.

What you would do

• Design and deliver the data layer for continuous assurance with read-only production data access
• Build and operate AI-powered monitoring agents for high-value use cases
• Develop and maintain the live Assurance Dashboard showing risks, findings, remediation status and fraud trends
• Own data quality and governance, ensuring privacy and residency requirements
• Maintain a model and agent inventory with documented logic, testing results and AI governance compliance
• Assess data source quality, ownership, lineage and coordinate with business and tech teams
• Deliver measurable outcomes and translate analytics into quantified business value
• Report progress weekly to Head of Internal Audit and management
• Collaborate with Engineering, Data, Finance, Compliance, Risk, IT and other functions to enable continuous assurance
• Coach the audit team in analytics and help grow the function's data and AI capability

What they are asking for

• 7+ years in building data pipelines, analytics or automation in financial services, payments, fintech or similar data-intensive environment
• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Finance, Accounting, Information Systems or related field
• Strong understanding of controls, risk and assurance concepts from audit, risk, finance or compliance experience
• Hands-on experience building anomaly detection, reconciliation or monitoring on large transaction datasets
• Practical experience applying AI or LLM-based tools to real business problems, including testing and validation
• Experience in internal audit, risk, fraud or revenue assurance analytics
• Strong SQL and Python (or equivalent) and experience with a modern data stack (cloud data warehouses, orchestration tools, BI/dashboard platforms)
• Preferred certifications such as CISA, CIA, CFE, or cloud/data engineering credentials
• Exposure to payments, settlement, treasury or banking data
• Familiarity with ICFR, regulatory reporting requirements or data protection regulation

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