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Lead Auditor, Data & Analytics (Group Internal Audit)

Flutterwave verified
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Location
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Work Model
home_work onsite
38% Remote · 0% Hybrid · 62% On-site
Job Type
work Full-time
External Interest
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Salary
payments Competitive

Intelligence Match

Match: ??%

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

Flutterwave is a leading payments technology company enabling global digital payments across Africa. The Lead Auditor, Data & Analytics role is a strategic hybrid audit and data engineering position within the Group Internal Audit Function, building the technical foundation for an AI-native internal audit capability focused on continuous monitoring, automation, and data-driven assurance for payments and banking operations.

Required Skills

Responsibilities

  • Design and deliver the data layer for continuous assurance, securing read-only access to production data with Engineering and Data teams
  • Build and operate AI-powered monitoring agents across settlements, reconciliations, revenue assurance, API transaction integrity, vendor spend, and privileged access
  • Build and maintain the live Assurance Dashboard covering top risks, revenue leakage, critical findings, remediation status, fraud trends, control failures, and financial exposure
  • Assess data quality, completeness, and lineage; agree data ownership with business and technology teams
  • Maintain model and agent inventory with documented logic, testing results, and accuracy/false-positive rates; ensure AI governance and responsible-AI compliance
  • Ensure data protection, privacy, and residency requirements are built into every pipeline and agent
  • Baseline and track outcome KPIs: revenue leakage identified, cost eliminated, losses prevented, manual controls automated, exposure reduced
  • Convert findings into quantified business value and report progress weekly to Head of Internal Audit and management
  • Translate analytics results into clear exceptions for auditors and actionable insights for management
  • Partner with Engineering, Data, Finance, Treasury, Compliance, Risk, Product, and IT while preserving Audit independence
  • Coach the audit team in analytics and build the function's data and AI capability
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