Technical Financial Crime Manager

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 cont