{"id":3358891,"url":"https://alion.io/job/flutterwave-data-analytics-lead-group-internal-audit","title":"Data & Analytics Lead, Group Internal Audit","company":{"id":62327,"name":"Flutterwave","domain":"flutterwave.com","url":"https://alion.io/company/flutterwave","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":73,"open_postings":11,"ghost_share":0.455,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lekki, Nigeria"],"countries":["NG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":702},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T20:40:03Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T03:36:55Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":3},"description":"Flutterwavewas founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) to make and receive payments in a convenient borderless manner.\nAbout the role\nThe Data & Analytics Lead, Group Internal Audit Function (GIAF)role is a strategic hire (a hybrid audit and data engineer) and the technical foundation of an AI-native internal audit function for our payments and banking operations: one that scales through data, automation, AI agents and continuous monitoring, with people focused on judgment, investigation and influence.\nYou will design and build the data pipelines, monitoring agents and live Assurance Dashboard that let Internal Audit review every transaction, surface exceptions early and demonstrate measurable business value: revenue leakage identified, cost eliminated, losses prevented and controls strengthened.\nResponsibilities include but are not limited to:\n1. Build the platform\nDesign and deliver the data layer for continuous assurance, working with Engineering and Data teams to secure read-only access to production data\nBuild and operate AI-powered monitoring agents across high-value use cases, including settlements and reconciliations, revenue assurance (including fee calculation and pricing), API transaction integrity, vendor spend and privileged access\nBuild and maintain the live Assurance Dashboard: top risks, revenue leakage, critical findings, remediation status, fraud trends, control failures and financial exposure\n2. Own data quality and governance\nAssess the quality, completeness and lineage of priority data sources, and agree data ownership with business and technology teams\nMaintain a model and agent inventory, with documented logic, testing results, and measured accuracy and false-positive rates; ensure agents meet AI governance and responsible-AI expectations\nEnsure data protection, privacy and residency requirements are built into every pipeline and agent\n3. Deliver measurable outcomes\nBaseline and track outcome KPIs: revenue leakage identified, unnecessary cost eliminated, losses prevented, manual controls automated and exposure reduced\nConvert findings into quantified business value, and report progress weekly to the Head of Internal Audit and management\nTranslate analytics results into clear exceptions that auditors can investigate and management can act on\n4. Work across the business\nPartner with Engineering, Data, Finance, Treasury, Compliance, Risk, Product and IT to enable continuous assurance while preserving Audit's independence\nSupport the operating model that separates monitoring (Audit) from remediation and control ownership (management)\nCoach the audit team in analytics and help build the function's data and AI capability over time\nRequired competencies to be a Waver:\nBachelor's degree in data science, computer science, engineering, statistics, finance, accounting, information systems or a related field\nExperience in internal audit, risk, fraud or revenue assurance analytics\n7+ years of experience building data pipelines, analytics or automation in financial services, payments, fintech or a comparable data-intensive environment\nStrong SQL and Python (or equivalent), and experience with a modern data stack, such as cloud data warehouses, orchestration tools and BI or dashboard platforms\nHands-on experience building anomaly detection, reconciliation or monitoring solutions on large transaction datasets\nPractical experience applying AI or LLM-based tools to real business problems, including testing and validation\nStrong understanding of controls, risk and assurance concepts, from audit, risk, finance or compliance experience\nPreferred:\nExposure to payments, settlement, treasury or banking data\nFamiliarity with ICFR, regulatory reporting requirements or data protection regulation\nRelevant certifications, such as CISA, CIA, CFE, or cloud and data engineering credentials\nOther attributes we are looking for:\nBuilder mindset: moves from idea to working, tested solution quickly\nRigor: insists on data quality, validation and traceability\nIndependence and integrity: understands the line between assurance and management responsibilities\nCommunication: explains technical results to executives and non-technical colleagues in plain language\nInfluence: earns cooperation from teams across the business without formal authority\nOutcome focus: measures success by business value created, not activity\nHow success is measured:\nAgents in production and the share of the high-risk audit universe under continuous monitoring\nRevenue leakage identified, cost eliminated and losses prevented\nManual controls automated and manual testing hours replaced\nAccuracy and false-positive rates of agents, validated against independent testing\nAdoption of the Assurance Dashboard by management\nClick here for the Recruitment Privacy Notice and Flutterwave Privacy Policy","description_format":"text","description_chars":5036,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & 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