Technical Financial Crime Manager

Responsibilities

• 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
• 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+

Additional Information

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.

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