FinCrime Insights Architect

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

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.