Product Auditor

Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related quantitative discipline

Experience: 3–5+ years in Product Audit, Systems Audit, Financial Data Analytics, or Payment Operations within a fintech or financial services environment

Certifications: CISA, CIA, or CFE preferred. ACA / ACCA is acceptable when combined with strong technical product experience and data analytics.

Sector Knowledge: Demonstrated hands-on familiarity with payment product architecture, wallet systems, and regulated payment flows in a Nigerian or comparable market context.

Audit Universe & Risk-Based Planning

Maintain a living Product Audit Universe covering all payment products, features, and integrations ranked by risk.

Own the annual Product Audit Plan, ensuring coverage is allocated dynamically based on risk ratings, product complexity, regulatory sensitivity, and change velocity.

Product Design & Control Assurance

Review PRDs, business rules, and transaction workflows to identify logic gaps, unmitigated risk paths, and missing exception-handling routines before products reach production/go-live.

Analyse product path scenarios, verify Maker-Checker enforcement, and provide formal control design sign-off before any material release goes live.

Live Product Assessment ( Continuous Audit Review)

Periodically assess live payment products to confirm they continue to operate within approved design parameters.

Detect configuration drift, identify silent divergence from original PRDs, and analyse live transaction data for emerging risk patterns.

Go-Live Readiness & Control Gate

Execute mandatory pre-production Product Audit reviews as an independent control gate for all material releases.

Confirm reconciliation logic, exception queues, and fallback controls are tested and functional.

Escalate critical deficiencies with risk ratings and hold recommendations where a product is not safe to release.

Transaction Logic & Mathematical Integrity

Interrogate the Fee Engine using SQL to mathematically prove that commissions, VAT, discounts, and splits are posted with complete precision.

Validate duplicate prevention mechanisms and ensure transaction integrity within complex, multi-step payment sequences, and test reversal, refund, and chargeback logic to confirm financial symmetry is maintained in every scenario.