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Cyber Operations Analyst

Flash -
Western Cape

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Job Details

Full-time

Full Job Description

RESPONSIBILITIES:

Monitor Flash system dashboards, alerts, and transaction queues in real time across assigned shifts (rotational, with 24/7 coverage) to identify critical anomalies.
Investigate and triage alerts in line with defined escalation procedures, distinguishing genuine incidents from false positives and taking appropriate action.
Escalate confirmed fraud cases and critical system events to the team lead and relevant stakeholders promptly and accurately.
Log all incidents, actions taken, and outcomes in the designated case management system with accuracy and within required timeframes.
Contribute to the identification of emerging fraud typologies, cyber threat patterns, and system vulnerabilities by analysing historical incident data and surfacing trends.
Conduct structured shift handovers, ensuring all open items, outstanding alerts, and critical context are communicated to the relieving analyst.
Adhere to all monitoring protocols, compliance requirements, and standard operating procedures relevant to the role.
Identify and report recurring alert patterns or system behaviours that may indicate emerging fraud trends or system risks.
Participate in team briefings, training sessions, and process improvement initiatives to maintain and enhance monitoring effectiveness.

MINIMUM REQUIREMENTS:

A diploma or degree in Information Technology, Computer Science, Finance, Cybersecurity, Data Science or a related field is required.
Certifications in fraud prevention, cybersecurity, or IT service management are advantageous.
1 - 3 years' experience in operations, monitoring, fraud analytics, or IT support environment.
Experience in a financial services or payments environment is advantageous.

REQUIRED KNOWLEDGE / TECHNICAL SKILLS:

Ability to interpret and act on security event data, including log analysis, endpoint telemetry, and network traffic indicators, across multiple systems simultaneously.
Basic understanding of payments systems and transaction flows (e.g. EFT, card schemes).
Proficiency in Microsoft Office (Excel, Outlook); ability to log and track incidents accurately.
Familiarity with fraud detection concepts: transaction anomaly scoring, behavioural pattern analysis, and rule-based flagging.
Understanding of network protocols, system architecture, and common attack vectors.
Familiarity with cloud monitoring environments.
Exposure to Flash or similar payment processing platforms is advantageous.
Knowledge of AML (Anti-Money Laundering) frameworks or regulatory requirements in financial services is advantageous.
Knowledge of threat intelligence feeds and their integration into detection pipelines.

COMPETENCIES / ATTRIBUTES:

Attention to detail - accurately identifies patterns, anomalies, and discrepancies across high volumes of transactions and alerts.
Analytical thinking - assesses alert data and system behaviour to distinguish genuine incidents from false positives.
Technical problem-solving - applies technical knowledge to investigate alert root causes, enrich incidents with contextual data, and propose detection improvements.
Effective communication - clearly and promptly escalates issues to the team lead and documents findings with precision.
Stress tolerance & resilience - maintains focus and accuracy during high-pressure incidents or sustained periods of shift work.
Teamwork & collaboration - works cohesively within the monitoring team across shift handovers to ensure continuity.
Accountability & ownership - takes responsibility for assigned monitoring queues and incident actions through to resolution.
Adaptability - responds effectively to changing alert volumes, system updates, and evolving fraud typologies.
Continuous learning – actively maintains awareness of the evolving threat landscape, new attack techniques, and advancements in security and fraud detection.

#LI-AR1

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