Paystack
fintech
FinancialCrimeManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Financial Crime Manager at Paystack. Skills: Financial crime oversight, Fraud and AML detection, Risk detection systems, Team leadership. Own, design, and scale fraud and AML detection capabilities. Lead fraud and AML detection operations from end-to-end”
What You'll Achieve.
Ensure Paystack remains a safe and trusted payments platform; Deliver high-quality risk outcomes; Meet growing transaction volumes; Improve signal quality; Ensure high-quality execution; Ensure efficient investigation outcomes; Maintain a positive customer experience; Scale safely; Protect customers, merchants, partners, and the broader financial ecosystem; Enable Paystack’s continued growth
Industry & Context.
Systems thinking
What They're Looking For.
Must Have
7+ years in financial crime roles in payments, fintech, banking, or financial services, Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar), Experience in measuring and optimising detection performance using quantitative metrics, 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, 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
Nice to Have
Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools, Fintech industry certifications such as ACAMS, ICA, CFE, CFCS, or similar
What You'll Do.
and scale fraud and AML detection capabilities
Lead fraud and AML detection operations from end-to-end
Partner with product and engineering to evolve system capabilities
Lead a high-performing team of specialists to deliver high-quality risk outcomes
Define operational strategies
Directly influence how financial crime risk is managed
Lead and develop high-performing fraud and AML teams
Inform the product roadmap for monitoring
and case management tools
Ensure the quality and effectiveness of fraud and AML monitoring logic and detection scenarios
Manage the operating model and performance of the Financial Crime Monitoring teams
and business requirements into robust
scalable detection systems
Drive operational excellence by using data and metrics to manage team capacity and performance
Ensure alignment between prevention
Apply deep understanding of fraud typologies
and regulatory expectations to detection design
Manage the Fraud and AML operational teams to ensure adequate coverage
capability and day-to-day execution
and audit requirements into scalable technical and operational controls
Stay ahead of evolving financial crime patterns
market-specific risks
and regulatory developments
Design and optimise systems
and thresholds used to identify financial crime
Ensure adequate coverage and capability across the team to meet growing transaction volumes
Establish feedback loops between investigation outcomes and detection strategies to improve signal quality
Maintain auditable documentation of detection logic
Measure and manage detection performance using quantitative metrics
Manage and mentor the Fraud and AML operational teams
and oversee performance management
Build and improve SLAs
and quality frameworks
Use performance metrics to manage team capacity and ensure efficient investigation outcomes
and regulatory expectations with a focus on maintaining a positive customer experience
How You'll Work.
Team & Collaboration
Partner with product and engineering teams to define requirements for monitoring, alerting, and case management tools; Work closely with Legal, Compliance, and Risk to ensure alignment with regulatory obligations; Collaborate with the Data team to optimise rule effectiveness and performance; Support audits, partner reviews, and regulatory engagements as a subject matter expert; Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues
Communication Scope
Excellent communication skills; Ability to explain complex technical concepts to non-technical stakeholders; Provide clear updates to senior stakeholders
Full Job Description
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 Paystack enters a phase of accelerated growth, we are seeking a Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits within the Compliance Operations team, carrying end-to-end accountability for ensuring our financial crime processes are robust, domain-accurate, and scalable across multiple markets. This is a hands-on leadership role where you will define operational strategies, guide system design, and directly influence how financial crime risk is managed at Paystack while leading and developing high-performing fraud and AML teams. WHAT YOU’LL DO As the Financial Crime Manager, you will lead our fraud and AML detection operations from end-to-end. You will partner with product and engineering to evolve system capabilities while leading a high-performing team of specialists to deliver high-quality risk outcomes. By combining deep domain expertise with operational leadership, you will ensure Paystack remains a safe and trusted payments platform. You will be accountable for: - Informing the product roadmap for our monitoring, alerting, and case management tools. - The quality and effectiveness of fraud and AML monitoring logic and detection scenarios. - The operating model and performance of the Financial Crime Monitoring teams - Translating risk, regulatory, and business requirements into robust, scalable detection systems - Driving operational excellence by using data and metrics to manage team capacity and performance. KEY RESPONSIBILITIES 1. Financial Crime Oversight - Own the end-to-end fraud and AML detection domain, ensuring alignment between preven
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