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Financial Crime Manager

Job Overview

Location

Kenya

Job Type

Full-time

Category

Software Engineering

Date Posted

May 22, 2026

Full Job Description

📋 Description

  • Lead end-to-end fraud and AML detection operations for a high-volume African fintech platform processing over $300 million monthly.
  • Design, build, and optimize risk detection systems including monitoring logic, alerting scenarios, and thresholds to identify financial crime patterns.
  • Translate regulatory requirements, partner obligations, and audit findings into scalable technical and operational controls across multiple markets.
  • Manage and mentor a team of Fraud and AML specialists and first-line managers, ensuring adequate coverage, capability, and day-to-day execution.
  • Establish feedback loops between investigation outcomes and detection strategies to improve signal quality and reduce false positives.
  • Measure and manage detection performance using quantitative metrics including precision, recall, alert-to-case conversion, and loss metrics.
  • Define and improve SLAs, KPIs, and quality frameworks across all Financial Crime teams to balance speed, quality, and regulatory compliance.
  • Partner with Product and Engineering teams to inform the roadmap for monitoring, alerting, and case management tools.
  • Collaborate with Legal, Compliance, Risk, and Data teams to align detection systems with regulatory obligations and optimize rule effectiveness.
  • Maintain auditable documentation of detection logic, business assumptions, and strategic changes to support audits and regulatory engagements.
  • Stay ahead of evolving financial crime typologies, sanctions, AML/CTF risks, and regional regulatory developments across Paystack’s operational footprint.
  • Provide clear, data-driven updates to senior stakeholders on operational performance, emerging risks, and mitigation strategies.
  • Ensure detection systems are robust, domain-accurate, and scalable to support Paystack’s accelerated growth across Africa.
  • Drive operational excellence by using data and metrics to manage team capacity and investigate cases efficiently while maintaining a positive customer experience.
  • Serve as the primary subject matter expert during audits, partner reviews, and regulatory engagements.
  • Balance customer experience with stringent financial crime prevention requirements in a high-growth, ambiguous environment.
  • Apply deep understanding of fraud patterns, transaction screening, and sanctions screening to design controls that protect customers, merchants, and the financial ecosystem.

🎯 Requirements

  • 7+ years in financial crime roles within payments, fintech, banking, or financial services
  • Proven experience designing, building, and tuning risk detection systems for fraud or AML
  • Experience measuring and optimizing detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion)
  • Strong systems thinking to design scalable, maintainable monitoring frameworks rather than one-off rules
  • Deep understanding of financial crime typologies, AML/CTF requirements, sanctions, and regulatory obligations
  • Proven experience leading and developing teams, including coaching, direction-setting, and performance management

🏖️ Benefits

  • Opportunity to define financial crime detection systems at a leading African fintech scaling across the continent
  • Work with high-impact partners including MTN, Bolt, and Domino’s Pizza
  • Collaborate with cross-functional teams in Product, Engineering, Legal, Compliance, and Data
  • Direct influence on Paystack’s ability to scale safely and securely in emerging markets

Skills & Technologies

Onsite

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About TalentSafari SAS

French recruitment agency matching tech talent with startups and scale-ups through curated talent pools, skill assessments and streamlined hiring processes. Offers permanent and freelance placements across software engineering, data, product and design roles. Founded in 2016 and headquartered in Paris, it combines human expertise with AI-driven matching to reduce time-to-hire for fast-growing European companies while providing career coaching and market insights to candidates.

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