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Salary
≈ $19k – $52k per year (Estimated)
Location
Hybrid (Cape Town, South Africa)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 6, 2026. Paystack scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Paystack provides online payment acceptance for African businesses. Its APIs handle cards, transfers and recurring billing. The company was acquired by a global payments provider.

About Paystack

Paystack’s mission is to power African ambition. Over 300K businesses across Nigeria, South Africa, Ghana, and Kenya use Paystack’s modern payments gateway, including Qatar Airways, MTN, Burger King, UPS, Africa World Airlines, AXA Mansard Insurance, FairMoney, PiggyVest, Crocs, Under Armour, Richemont Lifestyle Group, and many others.

Over the last 10 years, we’ve built products that have helped shape online payments in Africa, from automated recurring payments to direct bank payments and automated chargebacks. Today, Paystack is part of The Stack Group (TSG), a family of technology brands building modern infrastructure across payments, banking, consumer products, and emerging technologies.

At Paystack, we hire talented people, treat them with genuine respect, and give them the space, resources, and support to do the best work of their lives. We’d love your help.

About the role

The Financial Crime Insights & Systems Analyst role is a build-from-the-ground-up opportunity for someone who wants to shape how Paystack detects, reports on, and gets ahead of AML and fraud risk across both fiat and crypto, across every jurisdiction we operate in. You'll sit at the intersection of data, systems, and financial crime strategy. You will be a critical enabler for our AML and fraud teams. The insights, tooling, and reporting you produce will directly power how they do their jobs, from investigations to decisioning to strategy. One day you’ll be with Product and Engineering scoping a new fraud signal; the next you're spotting an emerging typology before it becomes a real problem or sitting with our fraud & AML team setting up proactive rules. You'll report directly to the Technical Financial Crime Manager and have real ownership over the tools and insight that power our AML and fraud capabilities.

We’ll trust you to

  • Reporting & alerting
  • Own end-to-end AML and fraud reporting framework and alerting framework across fiat and crypto, ensuring outputs are accurate, timely, and regulator-ready across all our jurisdictions. Work with our AML team, fraud team and Data to define and report on our KPI’s within the respective spaces

  • Enabling AML & Fraud teams
  • Be the critical insights engine behind our AML and fraud teams, giving them the data, dashboards, and analysis they need to investigate faster, decide with confidence, and work proactively rather than reactively

  • Systems & tooling
  • Manage and improve the systems that power financial crime detection and response, and build new tools where gaps exist with Data, Product & Engineering •Typology intelligence
  • Proactively identify and call-out emerging AML and fraud typologies, building the analytical capability to spot them earlier and faster for our AML & fraud teams •Rules engine
  • Assist in managing and continuously improving our AML and fraud rules engine, tuning for both detection effectiveness and false-positive reduction

  • Cross-functional controls
  • Partner with Product, Engineering, Data, fraud, and AML teams to design and implement proactive controls before risk materialises, not just after

  • Signals development
  • Work with Product, Engineering, Data,AML and fraud to build and maintain the AML and fraud signals that feed our detection systems

You’ll thrive in this role if you have

  • Experience working within a Financial Crime function (AML, fraud, or both), ideally in fintech, payments, banking, or crypto
  • Strong SQL skills comfortable independently querying, joining, and interrogating large datasets
  • Hands-on experience with dashboard/BI tools (e.g. Looker, Tableau, Metabase, Power BI) to build and maintain reporting
  • Familiarity with applying AI/ML tools to financial crime use cases whether that's typology detection, anomaly detection, or using AI to accelerate analysis.
  • A genuine interest in how fraud and money laundering typologies evolve, particularly across fiat and crypto rails
  • Comfortable operating across multiple regulatory jurisdictions, and translating regulatory reporting requirements into practical systems and workflows
  • Strong cross-functional collaborator able to work fluently with engineers, product managers, and frontline AML/fraud analysts alike
  • A builder's mindset: someone who sees a gap in tooling, process, or insight and wants to go fix it, not just flag it

Bonus points if you have

  • Experience with crypto/blockchain analytics tools (e.g. Chainalysis, Elliptic, TRM Labs)
  • Exposure to rules-engine or case-management platforms (unit 21, Actimize, Feedzai, ComplyAdvantage, Sardine)

Benefits

  • Competitive compensation package and benefits

  • 13th month bonus

  • TSG Equity compensation

  • Full medical coverage

  • Wellbeing stipend

  • Generous leave and sabbatical policies

  • Hybrid working environment

  • Smart, kind colleagues who are invested in your growth.

Paystack is an equal opportunity employer and prohibits discrimination and harassment of any kind. We’re committed to providing employees with a work environment that is progressive and open-minded. Our employment philosophy is to hire the best people and empower them to do the best work of their lives. Employment decisions are based on business needs and individual merit without regard to race, color, religion, ethnicity, sexual orientation, nationality, marital status, gender, or age.

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