Who we are

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

Job Purpose

Supports the Head of Group FP&A in running the Group's forecasting, budgeting, and reporting cycle, and acts as the FP&A resource for smaller subsidiaries that don't yet have a dedicated full-time finance analyst.

Responsibilities:

• Maintain and update the Group consolidation model monthly, reconciling actuals to forecast and flagging variances
• Provide forecasting, budgeting, and management-reporting support directly to subsidiaries without their own FP&A resource
• Prepare Board and management reporting packs to house standard, on a fixed monthly/quarterly cadence
• Support the annual budget process: templates, data collection from BUs, consolidation, and variance commentary
• Run variance analysis against budget and prior forecast, and draft the narrative behind the numbers
• Maintain KPI and unit-economics tracking across the entities in scope
• Respond to ad hoc analysis requests from the CFO, Head of Group FP&A, or subsidiary leadership

Qualifications:

• 4-6 years of experience in FP&A, financial analysis, or a similar corporate finance role
• Advanced Excel / financial modelling skills
• Experience working with multi-entity or multi-currency numbers
• Part-qualified or qualified accountant (ACA / ACCA / CIMA / CPA) or equivalent analytical background

Preffered Qualifications:

• Experience in banking, fintech, or another regulated environment
• Exposure to Board-level reporting
• Comfort working directly with subsidiary or BU stakeholders without close day-to-day supervision

About You

• You're comfortable being the only FP&A point of contact for a subsidiary. You don't wait to be told exactly what's needed
• You keep the model and the numbers clean, even when the underlying data isn't