Fraud Risk Management: Data Analyst at Lesaka Technologies

Job Description

• Lesaka Technologies, within the Consumer Division, is looking for a Fraud Risk Management: Data Analyst to support the identification, assessment, and mitigation of fraud, AML, and operational risks across the organisation.
• The role applies data analytics, technical tools, and risk-based methodologies to detect anomalous behaviour, support investigations, assess control effectiveness, and drive remediation initiatives that strengthen preventative and detective controls.

Key Responsibilities

Data Analysis

• Perform in-depth data analysis to identify fraud risks, operational anomalies, and control weaknesses.
• Collect, integrate, and analyse data from multiple sources, including transaction systems, customer databases, and external data feeds.
• Clean, validate, and preprocess data to ensure accuracy and reliability.
• Assess data quality and integrity to support investigations and regulatory reporting.

Risk & Remediation

• Apply an understanding of the fraud and operational risk lifecycle from detection to closure.
• Conduct root cause analysis on fraud incidents, operational failures, and control breaches.
• Develop and manage remediation plans, including actions, owners, timelines, and success measures.
• Track remediation progress and ensure timely closure of risk issues.

Investigation & Reporting

• Support fraud investigations with data-driven insights and evidentiary analysis.
• Analyse transactional and behavioural data to identify suspicious activity and emerging trends.
• Prepare clear, concise reports and dashboards for senior management, risk, and compliance stakeholders.
• Ensure reporting meets governance and regulatory standards.

Monitoring & Surveillance

• Design and maintain monitoring and surveillance processes to detect suspicious activity and control breaches.
• Support near real-time monitoring capabilities.
• Review and prioritise alerts from fraud detection systems based on risk severity.
• Recommend improvements to alert logic, thresholds, and escalation processes.

Risk Assessment & Mitigation

• Develop and apply risk scoring methodologies.
• Conduct risk assessments across products, processes, and systems.
• Recommend and implement control and process improvements.
• Maintain the Fraud Risk Register and track remediation actions.

Dashboards & Automation

• Design and maintain Power BI dashboards providing insight into fraud risks, investigations, and remediation progress.
• Develop and maintain SharePoint lists and workflow automation (e.g. Power Automate).
• Ensure dashboard accuracy, performance, and usability.

Continuous Improvement

• Identify emerging fraud trends and operational vulnerabilities.
• Enhance fraud detection models and analytical approaches.
• Stay informed on industry best practices and regulatory developments.

Stakeholder Engagement

• Work closely with Compliance, IT, Operations, and Business teams.
• Engage with regulators, law enforcement, and external industry partners as required.

Qualifications & Experience

• BCom in Information and Technology Management
• Risk Management (Fraud, Operational, or Enterprise Risk)
• Data Analytics, Data Science, or Data Visualisation
• Informatics or Information Systems
• Business or Applied Analytics
• Project Management (qualification or proven delivery experience)

Experience

• 1–2 years’ data analysis experience in fraud, risk, operations, or financial services.
• Experience working with large datasets to identify anomalies and trends.
• Exposure to fraud risk, operational risk, compliance, or control environments.
• Experience supporting remediation, audits, or issue management processes.

Technical Skills

• SQL proficiency (BigQuery or similar preferred).
• Experience with Power BI, Looker, Tableau, or similar tools.
• Strong understanding of data quality, lineage, and system dependencies.
• Ability to validate data used for risk and regulatory reporting.

Behaviours

• Strong ownership and accountability.
• Ability to manage multiple priorities simultaneously.
• Comfortable working in fast-paced, evolving environments.
• Strong communication skills across technical and non-technical stakeholders.

Closing Date 03 February 2026