Financial Crime Insights & Systems Analyst

Paystack; South Africa; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive pay

13th month bonus

TSG Equity

Medical coverage

Wellbeing stipend

Generous leave

Hybrid working

Growth opportunities

Job summary

Paystack is seeking a Financial Crime Insights & Systems Analyst to shape how we detect and report AML and fraud risk across fiat and crypto, across multiple jurisdictions. You’ll sit at the intersection of data, systems, and financial crime strategy, owning tools and insights powering investigations and proactive controls.

You’ll work with Product, Engineering, Data, AML and fraud teams to build signals, improve rules engines, and deliver regulator-ready outputs with a builder’s mindset.

Qualifications

• Experience in a Financial Crime function (AML, fraud, or both) within fintech/payments/banking/crypto.
• Strong SQL skills to query, join, and interrogate large datasets.
• Hands-on experience with dashboard/BI tools (Looker, Tableau, Metabase, Power BI) to build and maintain reporting.
• Familiarity with applying AI/ML tools to financial crime use cases (typology detection, anomaly detection).
• Interest in how fraud/ML typologies evolve across fiat and crypto rails.
• Comfort operating across multiple regulatory jurisdictions and translating reporting requirements into workflows.

Responsibilities

• Own end-to-end AML and fraud reporting framework and alerting across fiat and crypto, regulator-ready outputs across jurisdictions.
• Provide dashboards, data, and analysis to AML and fraud teams to speed investigations and proactive work.
• Manage and improve systems powering financial crime detection and response; build new tools with Data, Product & Engineering.
• Identify emerging AML/fraud typologies and improve analytics to spot them earlier and faster.
• Assist in managing and tuning the rules engine for detection effectiveness and reducing false positives.
• Collaborate with Product, Engineering, Data, AML, and fraud teams to design proactive controls.
• Develop and maintain AML/fraud signals feeding detection systems.

Skills

SQL

Data analysis

Dashboards

BI tools

AI/ML in fraud

Tools

Chainalysis

Elliptic

TRM Labs

Unit21

Actimize

Job description

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.