Lesaka Technologies is seeking a data-driven AML & Fraud Risk Analyst to play a key role in detecting, preventing, and mitigating fraud and AML risks. This hands-on role combines data analysis, AI/ML techniques, and risk assessment to protect the organization and provide actionable insights.

What you’ll do:

• Analyse transaction and customer data to detect patterns and anomalies.

• Develop algorithms, rules-based models, and risk scoring methods for fraud detection.

• Investigate suspicious cases and prepare reports for management and compliance.

• Build and maintain Power BI dashboards and automated flows for monitoring and insights.

• Collaborate with internal teams and external stakeholders, including law enforcement, to prevent and respond to fraud.

• Continuously improve fraud detection strategies, tools, and processes.

What you’ll need:

• Degree in IT, Data Analysis, AI/ML, or related field; criminology, stats, economics, or business analytics advantageous.

• 12–18 months’ experience in data analysis.

• Proficiency in SQL, Excel, R, SAS, and visualization tools (Power BI, Tableau, QlikView).

• Strong analytical, investigative, and communication skills with high integrity.