Data & 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 Lagos. It combines audit with data engineering to create an AI-native internal audit capability that scales through data, automation and continuous monitoring. The person will design data pipelines, monitoring agents and a live Assurance Dashboard to help Internal Audit review transactions, surface exceptions early and demonstrate measurable business value. Responsibilities cover building the data layer, operating AI-powered monitoring, maintaining the Assurance Dashboard, owning data quality and governance, delivering measurable outcomes, translating analytics into business value, and collaborating across Finance, Compliance, IT and Engineering while preserving Audit independence.

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 (settlements, reconciliations, revenue assurance, API integrity, vendor spend, privileged access).
• Maintain the live Assurance Dashboard showing risks, revenue leakage, findings, remediation status, fraud trends and financial exposure.
• Own data quality, governance, data source lineage and data ownership with IT and business teams.
• Maintain a model and agent inventory with documented logic, testing results and accuracy metrics; ensure AI governance and responsible-AI standards.
• Ensure data protection, privacy and residency requirements are embedded in pipelines and agents.
• Deliver measurable outcomes by baselining and tracking KPIs such as identified leakage, cost savings, losses prevented and automation of controls; report progress weekly to Head of Internal Audit.
• Translate analytics findings into actionable exceptions for auditors and management to act on.
• Collaborate across the business with Engineering, Data, Finance, Treasury, Compliance, Risk, Product and IT to enable continuous assurance while maintaining Audit independence.
• Support the operating model separating monitoring from remediation and help build the function's data and AI capability over time.

What they are asking for

• Bachelor’s degree in data science, computer science, engineering, statistics, finance, accounting, information systems or related field.
• Experience in internal audit, risk, fraud or revenue assurance analytics.
• 7+ years building data pipelines, analytics or automation in financial services, payments, fintech or similar data-intensive environment.
• Strong SQL and Python (or equivalent) and experience with modern data stack (cloud data warehouses, orchestration tools, BI/dashboard platforms).
• Hands-on experience building anomaly detection, reconciliation or monitoring solutions on large transaction datasets.
• Practical experience applying AI or LLM-based tools to real business problems, including testing and validation.
• Solid understanding of controls, risk and assurance concepts from audit, risk, finance or compliance backgrounds.
• Preferred: exposure to payments, settlement, treasury or banking data; familiarity with ICFR, regulatory reporting or data protection regulation.
• Relevant certifications such as CISA, CIA, CFE or cloud/data engineering credentials.

Listing details are summarised from the source. Always confirm the role and the employer on the original posting before applying, and never pay to apply for a job.