Technical Financial Crime Manager

As we enter a phase of accelerated growth, Paystack is 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.

What you'll do

• 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
• Analyse large transactional and behavioural datasets to identify emerging fraud and AML risks across markets
• Design and implement statistical models, machine learning approaches, and time-series analysis to enhance detection
• Manage Fraud and AML operational teams to ensure adequate coverage, capability, and day-to-day execution
• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring tooling
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Requirements

• 7+ years in financial crime roles in payments, fintech, banking, or financial services
• Strong technical expertise in data analysis including advanced SQL and large complex datasets
• Expert Python skills including pandas, NumPy, scikit-learn, statsmodels, and model pipelines
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar)
• Solid understanding of statistical modelling, machine learning, and time-series forecasting
• Deep understanding of financial crime typologies, AML/CTF requirements, and regulatory obligations
• Proven experience leading and developing teams including coaching and performance management

Preferred

• Experience with dbt and modern analytics stacks
• Experience with AI-assisted tooling or advanced analytics platforms
• Familiarity with monitoring platforms, transaction screening, and case management tools
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar

Location

Open to candidates based in Nigeria, Ghana, Kenya, or South Africa.

About Paystack

Paystack has established itself as a pioneer in African fintech, processing over $300 million in monthly transactions. Our modern payments infrastructure supports tens of thousands of corporations including MTN, Bolt, and Domino's Pizza. Paystack is a Stripe company.