Who We Are

Moniepoint is Africa’s all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria’s largest merchant acquirer. We are on a mission to create financial happiness for everyone, everywhere.

What We Do

At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure.

Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth.

Role Overview

The Product Auditor provides independent assurance over the design, implementation, and operating effectiveness of product controls across payment, wallet, settlement, switches and other related products across the organisation

The role ensures that new and existing products are deployed with adequate financial, operational, security, and regulatory controls, safeguarding the organization against revenue leakage, settlement failures, regulatory breaches, and technology-driven risks.

The Product Auditor will independently evaluate product risk exposure and control maturity prior to scale.

Key Responsibilities 

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.

Settlement & Ledger Integrity

• Trace fund flows, confirming continuous synchronisation between wallet sub-ledgers and the General Ledger. 
• Assess reconciliation logic for breaks and evaluate the authorisation, documentation, and reversibility of manual settlement overrides.

Product Change & Configuration Integrity

• Confirm that all product modifications: fee tables, routing rules, limit parameters passed through an approved change management cycle. 
• Identify silent changes made outside formal release processes and audit the integrity of product master data to ensure it is access-controlled, version-tracked, and consistent with approved product terms.

Vendor & Third-Party Product Risk

• Assess controls over vendor-managed product components, evaluate SLA performance against contractual commitments, and identify single-vendor dependency risks within critical payment flows. 
• Evaluate the organisation's ability to detect unilateral changes in third-party API behaviour, fee logic, or settlement processes.

Control Advisory & Stakeholder Engagement

• Engage product and engineering teams early in the design cycle to provide informal control advisory, reducing findings at the formal review stage without compromising independence. 
• Participate in design reviews and architecture discussions, and build a control-by-design culture across product teams. 

Incident Review, RCA & Regulatory Alignment

• Lead post-incident reviews for product failures,producing structured RCA reports that identify underlying logic failures, not just surface symptoms. 
• Assess corrective actions for adequacy and track findings to verify closure. 
• Ensure product logic complies with CBN guidelines, PCI DSS, and consumer protection obligations at the design level, and evaluate the regulatory impact of new features before release.

Reporting & Governance

• Prepare risk-rated audit reports for Executive Management and the Audit Committee, leading with findings, financial impact, and required action. 
• Maintain a Product Risk Register, deliver quarterly control maturity updates, and ensure governance bodies are never surprised by a product failure that was visible at the design or portfolio review stage.

Required Knowledge & Skills 

Technical Skills

• Advanced SQL for independent data extraction and transaction interrogation
• Payment systems architecture : Wallets, card processing, direct debit, settlement, and reconciliation
• API and integration literacy (Basic)
• End-to-end transaction lifecycle knowledge: Authorisation, posting, clearing, settlement, and exception handling
• PRD and process flow analysis: translating product documentation into control flowcharts
• Mathematical precision: fee calculations, interest computations, and split payment structures
• Pattern recognition: detecting anomalies, outliers, and irregularities in large transaction datasets

Audit & Risk Skills

• Risk-based audit methodology: IIA Standards and COSO framework applied to financial products.
• Control design logic and evaluation
• Root cause analysis
• Regulatory knowledge: CBN payment system regulations, PCI DSS, NDPR,Nigerian consumer protection obligations etc

Interpersonal & Professional Skills

• Stakeholder engagement
• Professional scepticism and independence
• Risk-rated report writing

Tools & Platforms

• SQL (PostgreSQL / MySQL / MSSQL)
• AdvancedExcel / Google Sheets
• Claude / AI Tools

Qualifications

• 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.

What We Offer You

• Culture: We put our people first and prioritize the well-being of every team member. We’re human, we listen, and we look out for one another.
• Learning: We’re big on growth. You’ll find an environment focused on knowledge sharing, training, and helping you reach your potential.
• Compensation: You’ll receive an attractive salary, pension, health insurance, and an annual bonus, along with other great benefits.

What to Expect in the Hiring Process

1. A preliminary phone call with our recruiter.
2. An interview with the hiring team.
3. A final conversation with a member of our executive team.

Moniepoint Inc. is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Technical Financial Crime Manager

About Paystack

Over the past nine years, Paystack has established itself as a pioneer in African fintech with a mission to help merchants get paid by anyone, anywhere in the world. Processing over $300 million in monthly transactions, our modern payments infrastructure supports tens of thousands of notable corporations, including MTN, Bolt, and Domino’s Pizza.

As we enter a phase of accelerated growth, we are seeking a Technical Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits at the intersection of data, engineering, and financial crime operations, with end-to-end accountability for ensuring our monitoring systems are technically robust, domain-accurate, and scalable across multiple markets.

This is a hands-on technical leadership role. You will define detection logic, guide system design, and directly influence how financial crime risk is identified and managed at Paystack, while also leading and developing high-performing fraud and AML teams.

What You’ll Do

As the Technical Financial Crime Manager, you will run the day-to-day fraud and AML detection stack; from data and rules to operational outcomes. You will combine deep technical expertise with financial crime domain knowledge to design effective monitoring systems, manage domain specialists, and ensure Paystack remains a safe, trusted payments platform.

You will be accountable for:

• The technical quality and effectiveness of fraud & AML monitoring logic
• The operating model and performance of Financial Crime Monitoring teams

Translating risk, regulatory, and business requirements into scalable detection systems

Key Responsibilities

Technical Ownership of Detection & Monitoring

• Define, build, test, and optimise fraud and AML detection rules, scenarios, thresholds, and models used in production systems.
• Translate complex datasets and domain insights into actionable detection logic embedded in monitoring and alerting platforms.
• Establish feedback loops between investigation outcomes and detection logic to continuously improve signal quality.
• Measure and manage detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion, loss metrics).

Maintain structured, auditable documentation of rules, logic, assumptions, and changes.

Data Analysis, Modelling & Insights

• Analyse large, complex transactional and behavioural datasets to identify emerging fraud and AML risks across markets.
• Design and implement statistical models, machine learning approaches, and/or time-series analysis to enhance detection capabilities.
• Build and own dashboards and reporting frameworks tracking KPIs, SLAs, alert quality, investigator productivity, and risk outcomes.

Conduct trend analysis, root cause analysis, and deep dives on losses, typologies, and control gaps.

Financial Crime Oversight

• Own the end-to-end fraud and AML detection domain, ensuring alignment between prevention, detection, investigation, and remediation.
• Apply deep understanding of fraud typologies, AML/CTF risks, sanctions, and regulatory expectations to detection design.
• Manage the Fraud and AML operational teams (specialists and first-line managers) to ensure adequate coverage, capability and day-to-day execution. 
• Translate regulatory, partner, and audit requirements into scalable technical and operational controls.
• Stay ahead of evolving financial crime patterns, market-specific risks, and regulatory developments across Paystack’s footprint.

Tooling, Automation & Scale

• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring, alerting, and case management tooling.
• Drive automation initiatives to reduce manual effort, improve consistency, and enable scale without compromising control quality.
• Identify and prioritise enhancements to monitoring platforms, workflows, and data pipelines.
• Ensure fraud and AML tooling evolves in line with transaction growth, new products, and new markets.

Operational Excellence

• Build and continuously improve operational processes, SLAs, KPIs, and quality frameworks across Fraud and AML teams.
• Use data and metrics to manage performance, capacity, and outcomes, ensuring teams operate efficiently and effectively.
• Identify gaps, risks, and inefficiencies, leading initiatives to strengthen controls and scale operations sustainably.
• Balance speed, quality, regulatory expectations, and customer experience in day-to-day decision-making.

Cross-Functional & Executive Collaboration

• Work closely with Product, Engineering, Data, Risk, Compliance, Legal, and Customer Operations. 
• Influence roadmap priorities related to fraud, AML, and financial crime tooling.
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Support audits, partner reviews, and regulatory engagements as a subject matter expert.

Who We’re Looking For

Required 

• 7+ years in financial crime roles in payments, fintech, banking, or financial services.
• Strong technical expertise in data analysis, including advanced SQL and experience working with large, complex datasets.
• Expert Python skills, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, and/or model pipelines.
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar).
• Solid understanding of statistical modelling, machine learning, and/or time-series forecasting, with experience deploying models into production or operational workflows.
• Ability to translate data insights into operational detection logic used by investigators and automated systems.
• Experience measuring and optimising detection performance using quantitative metrics.

Strong systems thinking: able to design scalable, maintainable monitoring frameworks rather than one-off rules.

• Deep understanding of financial crime typologies, fraud patterns, AML/CTF requirements, and regulatory obligations.
• Experience operating within fraud, AML, risk, or compliance functions in payments, fintech, or financial services.
• Proven experience leading and developing teams, including setting direction, coaching, and performance management.
• Ability to balance technical depth with practical operational decision-making.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

High ownership mindset and comfort operating in ambiguous, high-growth environments.

Preferred

• Experience with dbt and modern analytics stacks.
• Experience with version control systems (GitHub).
• Experience with AI-assisted tooling or advanced analytics platforms.
• Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools.
• Experience working with OLTP (MySQL/PostgreSQL/SQL Server), OLAP (Redshift/BigQuery/Snowflake), and NoSQL (MongoDB) databases.
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar.

Why This Role Matters

This role is foundational to Paystack’s ability to scale safely. You will define how financial crime detection works at Paystack, combining strong technical systems with sound domain judgment. Success in this role directly protects customers, merchants, partners, and the broader financial ecosystem while enabling Paystack’s continued growth across Africa and beyond.

This role is open to candidates based in Nigeria, Ghana, Kenya, or South Africa