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  • Posted: Jun 30, 2026
    Deadline: Not specified
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  • Tech-forward innovation leaders in the informal retail market. Through our FLASH Business platform, we strive to empower our Traders with a wide range of products and offer unrivalled convenience for consumers. Our retail infrastructure has enabled a money cycle thats enriching informal communities and provides a platform for safe, easy, convenient transa...
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    Cyber Operations Manager (Western Cape)

    Description

    RESPONSIBILITIES:

    • Lead and manage the 24/7 technology and information security monitoring function, ensuring continuous coverage of Flash systems across all shifts through effective scheduling, workload distribution, and contingency planning.
    • Act as the primary escalation authority for complex, high-severity, or time-critical fraud cases and system incidents, driving timely resolution and coordinating cross-functional responses where required.
    • Oversee the quality, accuracy, and timeliness of all incident logging, case management records, and shift handover documentation produced by the team.
    • Monitor and report on team performance against defined SLAs, KPIs, and quality standards, identifying trends and implementing corrective or developmental actions as needed.
    • Develop, maintain, and enforce standard operating procedures, escalation protocols, and runbooks to ensure consistency, compliance, and operational resilience across all monitoring activities.
    • Manage team members through the full people management lifecycle, including performance reviews, coaching, development planning, and addressing conduct or capability concerns in line with HR policy.
    • Produce data-driven management reports, threat trend analyses, and operational performance dashboards for senior leadership, translating complex technical findings into actional business intelligence.
    • Collaborate with information security, fraud, technology, compliance, and risk teams to align monitoring strategy with the organisation’s security posture, risk appetite, and regulatory obligations.
    • Identify and champion continuous improvement initiatives to enhance detection accuracy, reduce false-positive rates, and improve overall operational efficiency.
    • Drive a culture of technical excellence and continuous learning within the team, including facilitating threat-hunting exercises, knowledge-sharing sessions, and exposure to emerging data and tooling.

    Requirements

    MINIMUM REQUIREMENTS:

    • A diploma or degree in Information Technology, Computer Science, Finance, Business Management, or a related field.
    • A postgraduate qualification or management diploma is advantageous.
    • Certifications in fraud management (e.g. CFE - Certified Fraud Examiner), cybersecurity (e.g. CompTIA Security+), or IT service management (e.g. ITIL Foundation) are advantageous.
    • 5 - 8 years' experience in a cybersecurity operations, fraud analytics, operations centre, or critical systems monitoring environment (required), with at least 1 - 2 years in a formal supervisory or team lead capacity.
    • Prior experience within a financial services or payments environment.

    REQUIRED KNOWLEDGE / TECHNICAL SKILLS:

    • Sound knowledge of detection methodologies, alert triage frameworks, and escalation protocols in a real-time monitoring environment.
    • Demonstrated ability to lead, schedule, and performance-manage shift-based operational teams.
    • Proficiency in incident and case management tools.
    • Strong working knowledge of payment systems and transaction processing (e.g. EFT, card schemes, real-time payments).
    • Ability to produce operational reports, shift performance summaries, and management information for senior stakeholders.
    • Hands-on experience with Flash or comparable payment processing platforms is advantageous.
    • Exposure to monitoring or analytics tools is advantageous.
    • Familiarity with cloud-native security tooling.
    • Working knowledge of AML, or relevant South African financial regulatory frameworks (e.g. SARB, POPIA) is advantageous.
    • Experience authoring or maintaining SOPs, runbooks, and operational process documentation is advantageous.
    • Experience in red team / blue team exercises, penetration testing frameworks, or threat modelling methodologies is advantageous.

    COMPETENCIES / ATTRIBUTES:

    • Leadership & people development - coaches, motivates, and grows a team across rotating shifts, building a high-performance monitoring culture and addressing performance gaps proactively.
    • Decision-making under pressure - exercises sound, timely judgement during high-severity cyber, fraud or system incidents, often with incomplete information and under time constraints.
    • Analytical thinking - interprets alert patterns, incident data, and team performance metrics to identify systemic risks and improvement opportunities.
    • Strategic analytical thinking – synthesis security telemetry, fraud data, and operational metrics to identify systemic risks, detection gaps, and strategic improvement priories beyond the immediate incident.
    • Effective communication - conveys complex operational and cyber or fraud-related information clearly to the team, senior management, and cross-functional stakeholders, both verbally and in written reports.
    • Accountability & ownership - holds end-to-end accountability for shift operations, SLA adherence, and team compliance with protocols.
    • Planning & organising - manages shift rosters, workload allocation, and operational priorities to sustain 24/7 monitoring coverage without gaps.
    • Stakeholder engagement - builds effective working relationships with information security, fraud, technology, compliance, risk, and business teams to align monitoring activities with broader organisational goals.
    • Continuous improvement - proactively identifies process gaps, false-positive trends, and tooling limitations, and drives enhancements to improve detection effectiveness and team efficiency.

    go to method of application »

    Cyber Operations Analyst (Western Cape)

    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.

    Requirements

    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.

    Method of Application

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