Data & Analytics Lead, Group Internal Audit at Flutterwave – Lagos, Nigeria

Item	Details
Company	Flutterwave
Location	Lekki, Lagos, Lagos State
Employment Type	Full-Time
Salary	Not specified by the employer
Qualification	Bachelor’s Degree in Data Science, Computer Science, Engineering, Statistics, Finance, Accounting, Information Systems, or Related Field
Experience	7+ years in data pipelines, analytics or automation, plus internal audit, risk, fraud or revenue assurance analytics experience
Application Deadline	Not specified by the employer
Number of Openings	Not specified

About This Opportunity

Flutterwave is hiring a Data & Analytics Lead for its Group Internal Audit Function, based in Lekki, Lagos; the vacancy is live on the company’s official BambooHR board, linked from its careers page. This senior, strategic hire blends audit work with data engineering: the appointee will build the technical foundation of an audit function that works through data, automation and continuous monitoring, so auditors can review transactions at scale and spend their own time on judgement and investigation. In practice, that means designing data pipelines, building monitoring tools that flag exceptions early, and maintaining a live dashboard of top risks and control failures, reporting to the Head of Internal Audit. It will suit an experienced data professional with a Bachelor’s degree, strong SQL and Python skills, and at least seven years of relevant experience. No closing date is stated, so apply promptly.

Key Responsibilities

• Design and deliver the data layer for continuous assurance, working with Engineering and Data to secure read-only access to production data.
• Build and run AI-powered monitoring agents for high-value areas: settlements and reconciliations, revenue assurance (fee calculation and pricing), API transaction integrity, vendor spend and privileged access.
• Build and maintain a live Assurance Dashboard showing top risks, revenue leakage, critical findings, remediation status, fraud trends, control failures and financial exposure.
• Assess the quality, completeness and lineage of priority data sources, agree data ownership with business and technology teams, and keep an inventory of models and agents — with documented logic, testing results and measured accuracy and false-positive rates — so agents meet AI governance expectations, with data protection, privacy and residency requirements built into every pipeline and agent.
• Set baselines and track outcome measures (revenue leakage identified, cost removed, losses prevented, controls automated, exposure reduced), turn findings into quantified business value and clear, investigable exceptions, and report progress weekly to the Head of Internal Audit and management.
• Partner with Engineering, Data, Finance, Treasury, Compliance, Risk, Product and IT to enable continuous assurance while preserving Audit’s independence, support an operating model that keeps monitoring with Audit and remediation with management, and coach the audit team.

Requirements And Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Finance, Accounting, Information Systems, or a 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 a similar environment.
• Strong SQL and Python (or equivalent), and experience with a modern data stack — cloud data warehouses, orchestration tools and BI or dashboard platforms.
• Hands-on experience building anomaly detection, reconciliation or monitoring solutions on large transaction datasets.
• Practical experience applying AI or large language model tools to real business problems, including testing and validation.
• A strong understanding of controls, risk and assurance concepts, from audit, risk, finance or compliance work.
• Preferred: exposure to payments, settlement, treasury or banking data; familiarity with internal control over financial reporting, regulatory reporting or data protection regulation; and relevant certifications such as CISA, CIA or CFE, or cloud and data engineering credentials.
• A builder mindset (idea to working, tested solution, quickly), rigour on data quality, validation and traceability, and independence and integrity, with a clear understanding of the line between assurance work and management responsibilities.
• Communication skills that explain technical results in plain language, influence that earns cooperation across the business without formal authority, and an outcome focus measuring success by business value created, not activity.

Salary And Benefits

Salary: Not specified by the employer; no figure is stated in the official advert. Flutterwave’s official careers page states that all team members receive comprehensive health insurance (covering the team member and dependants), comprehensive life insurance, monthly internet and entertainment allowances, 20 days of paid annual leave, and an employee pension plan.

How To Apply

1. Open the official advert link below (Flutterwave’s BambooHR board, linked from its careers page).
2. Read the full advert and confirm you meet the degree and experience requirements.
3. Prepare your CV, making your data pipeline, analytics, automation and audit or risk experience clear.
4. Complete the online application form on that page and submit it.
5. Apply here: https://flutterwavego.bamboohr.com/careers/1389

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Our Tips For This Role

• Quantify the core requirement up front: the advert requires 7+ years building data pipelines, analytics or automation in financial services, payments, fintech or a similar environment, plus internal audit, risk, fraud or revenue assurance analytics experience.
• Make your technical stack easy to scan: strong SQL and Python are required, alongside experience with cloud data warehouses, orchestration tools and BI or dashboard platforms.
• Show built monitoring work, not just analysis: give examples of anomaly detection, reconciliation or monitoring solutions on large transaction datasets, and of the live dashboards you have maintained.
• Include your AI work with its testing: practical experience applying AI or large language model tools, including testing and validation, and documenting logic, accuracy and false-positive rates, is part of this role.
• Prepare your CV as the advert directs, making your data pipeline, analytics, automation and audit or risk experience clear before you submit through the BambooHR board; no closing date is stated, so apply promptly.

About Flutterwave

Flutterwave is a payments technology company founded on the principle that every African must be able to participate and thrive in the global economy.
It has built a trusted payment infrastructure that lets consumers and businesses, in Africa and internationally, make and receive payments in a borderless manner.
Its stated vision is to make it easier for Africans to build global businesses that can make and accept payment anywhere in the world.
The company says hundreds of staff work across different countries, with headquarters in San Francisco and Nigeria.
Flutterwave recruits through its official careers page, which links to its BambooHR board, where this vacancy was listed live at verification.

Frequently Asked Questions

What is the application deadline for the Flutterwave Data & Analytics Lead role?
The employer has not specified a deadline. The advert was published on 27 October 2026 and was still live on 4 November 2026, so apply as early as possible.

What qualification do I need to apply?
A Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Finance, Accounting, Information Systems, or a related field.

How much experience is required?
At least 7 years building data pipelines, analytics or automation in financial services, payments, fintech or a similar environment, plus internal audit, risk, fraud or revenue assurance analytics experience.

Where is the role based?
In the Internal Audit function at Lekki, Lagos, Nigeria.

How much is the salary?
Not specified by the employer; no figure is stated in the official advert.

Verified on 11 November 2026 — the official advert and application link were checked on this date.

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