Company:
Absa Group Limited (Absa)
Industry: Banking / Financial Services
Deadline: Oct 31, 2025
Qualification: Bachelors, Masters
Experience: 2 – 4 years
Province: Gauteng
City: Johannesburg
Field: Data, Business Analysis and AIΒ , Finance / Accounting / Audit, ICT / Computer
Job Summary
- The Fraud Risk Analyst plays a pivotal role in supporting the execution of the Fraud Strategy by leveraging data-driven insights to continuously optimize fraud detection and prevention rules.
- This role is responsible for the tactical and strategic refinement of rule logic to enhance system performance, reduce false positives, and minimize customer impact.
Job Description
Qualifications & Experience required
- Bachelorβs degree in Risk Management, Data Analytics, Information Systems, or related field.
- 2β4 yearsβ experience in analytics, risk management, or financial crime prevention.
- Proficiency in fraud detection platforms (e.g., Falcon, Actimize) and rule logic development.
- Strong analytical skills with experience in data interpretation and reporting.
- Familiarity with fraud metrics (FPR, AFPR, ADR, VDR) and performance monitoring.
βββββββKey Competencies required
- Analytical thinking and problem-solving
- Attention to detail and accuracy
- Stakeholder communication and collaboration
- Governance and documentation discipline
- Adaptability to evolving fraud trends and technologies
βββββββKey Responsibilities
- Conducting daily health checks on fraud detection rates, prevention metrics, and alert queue volumes
- Implementing and refining fraud rules to proactively detect and prevent fraudulent activity
- Performing tactical and strategic rule optimization based on analytical findings and emerging fraud trends
- Reviewing fraud monitoring systems to ensure alignment with operational and risk objectives
- Mapping and executing rule management processes in accordance with established governance frameworks
- This role requires a strong analytical mindset, attention to detail, and a collaborative approach to ensure fraud mitigation efforts are both effective and aligned with business and customer protection goals.
βββββββRule Optimization & Performance
- Align procedures for testing and deploying fraud rules to ensure accurate implementation and optimal performance within detection systems.
- Apply vendor best practices to enhance rule execution and system efficiency.
- Leverage system functionalities and rule hierarchy to improve rule firing accuracy and reduce latency.
- Maintain rule engine hygiene by identifying and removing redundant or underperforming rules as part of BAU monitoring.
- Continuously analyze fraud reports to detect anomalies and emerging fraud patterns, implementing tactical and strategic rule changes to meet prevention targets within the agreed risk appetite (e.g., FPR, ADR, VDR, customer impact).
- Investigate undetected fraud cases and refine or introduce new rules to mitigate evolving fraud threats.
- Assess approved fraud cases to identify opportunities for rule optimization.
- Validate rule firings to ensure logic accuracy and relevance to fraud typologies.β
βββββββGovernance & Reporting
- Archive all fraud rule changes, including approvals, peer reviews, and updated rule logs, in a centralized and accessible repository.
- Ensure all daily, weekly, and monthly processes are documented, current, and available to relevant team members.
- Produce ad-hoc analytical reports on fraud-related issues, providing clear insights and actionable commentary.
- Develop new reporting tools and dashboards to support strategic fraud analytics objectives.
βββββββStakeholder Engagement & Relationship Management
- Collaborate effectively with cross-functional teams, including Fraud Strategy, Fraud Solutions, IT, and Compliance.
- Maintain regular communication with key stakeholders to ensure alignment and transparency.
- Escalate potential issues in a timely and structured manner.
- Understand and incorporate stakeholder requirements into fraud rule design and execution.
Education
- Postgraduate Degrees and Professional Qualifications: Mathematics
End Date: September 26, 2025