63 Fraud Analyst jobs in South Africa

Overall Purpose of the Role:

To ensure that all Fraud cases (including outbound calls) and e-mails are actioned promptly in order to provide timeous assistance and feedback to our customers.

Responsibilities:

• Carefully analyse alerts flagged on the fraud monitoring systems and confirm the validity of suspicious transactions and/or activity with customers in order to detect and prevent fraud (this includes all fraud types).
• Loading security blocks in cases where suspicious transactions or activity cannot be confirmed with customers and making clear notes on the fraud monitoring and case management systems for record and audit purposes.
• Ensure that laid down procedures are always followed.
• Ensure all high risk or unusual activity is escalated to management immediately.
• Always escalate any errors or deviations from procedure to a team leader or manager immediately.
• Using the Bank's assets, such as the telephone, emails and printers, amongst others, in a responsible manner, without abusing or causing malicious damage to the Bank's assets and systems.
• Ensure that shift roster is carefully monitored for working times and adhered to.
• Always meeting deadlines on all key deliverables as per agreed Key Performance indicators.
• Maintain confidentiality and integrity of customers.
• Always dealing with clients in a professional manner.
• To deal professionally and tactfully with impatient or demanding customers.
• Investigate and resolve all customer disputes/cases within agreed timelines.
• High focus on recoveries.
• Provide timely feedback to internal and authorised external stakeholders.
• Escalate and report all high risk/significant incidents to management immediately.
• All cases in the Case Management System must be actioned and kept up to date daily.
• Execute ad-hoc duties allocated by management in a professional manner with adherence to timelines given.
• When required and requested to do so, assist with actioning alerts triggered on the fraud
• monitoring system(s) or taking inbound calls from clients disputing transactions.
• Where fraud is confirmed by the customer, a fraud case to be updated on the Case
• Management System with the correct fraud type and details of the incident.
• Stopping and blocking of accounts/cards when required to prevent any further losses or
• exposure to the bank and/or its clients.

• Use the South African Banking Risk Services (SABRIC) Standard Operating Procedure for

• Interbank Repatriation of Funds guidelines to secure funds.Experience and Skills Required:

• Good product knowledge of different banking products and services.

• At least 2 to 3 years working experience in the Fraud Risk environment, especially Call Centre and shifted environment.
• Good communication skills.
• Ability to work under pressure and complete assignments within set deadlines.
• Ability to use initiative to solve problems and issues.
• Lateral thinking abilities.
• Team player.
• Time Management.
• Assertiveness skills.
• Ability to be self-managed.

Qualifications Required:

• Matric.
• Relevant diplomas, certificates or completed training courses in Fraud Risk Management

Job Type: Full-time

Pay: Up to R16 000,00 per month

Work Location: In person

Requirements: 

• Matric certificate.

• Relevant diploma, certificate, or completed training in Fraud Risk Management.

• 2–3 years’ experience in a Fraud Risk environment, particularly in call centre and shift-based operations.

• Strong knowledge of various banking products and services. 

Responsibilities: 

• Carefully analyse alerts flagged on the fraud monitoring systems and confirm the validity of suspicious transactions and/or activity with customers to detect and prevent fraud (this includes all fraud types).

• Loading security blocks in cases where suspicious transactions or activity cannot be confirmed with customers, and making clear notes on the fraud monitoring and case management systems for record and audit purposes.

• Ensure that laid-down procedures are always followed.

• Ensure all high-risk or unusual activity is escalated to management immediately.

• Always escalate any errors or deviations from procedure to a team leader or manager immediately.

• Using the company’s assets, such as the telephone, emails and printers, amongst others, in a responsible manner, without abusing or causing malicious damage to the company’s assets and systems. 

REQUIREMENTS

• Conflict Management

• Customer Service

• Customer Support

• Financial Services

• Retail Banking

• Time Management

The Loyalty Forensics Specialist is a senior role responsible for leading the fraud mitigation portfolio across Spur Corporation's loyalty programmes. The role provides strategic direction and oversight to ensure that customer points, vouchers, and benefits remain secure, while minimising financial losses and safeguarding programme integrity.

Roles and ResponsibilitiesGeneral

• Provide strategic leadership and oversight of Spur Corporation's loyalty fraud mitigation portfolio.
• Detect, investigate, and mitigate fraudulent activity within loyalty programmes.
• Collaborate with the Call Centre, Loyalty Team, Operations, POS Systems, and Loyalty Systems to ensure end-to-end fraud controls.
• Collect, preserve, and analyse digital evidence (system logs, transaction histories).

Fraud Risk Management

• Develop and maintain enterprise-level fraud detection rules and monitoring frameworks.
• Establish thresholds and alerts for high-risk behaviours (e.g., abnormal points accumulation, voucher redemptions, excessive promotion usage).
• Oversee post-incident reviews to identify root causes and drive systemic improvements.
• Lead forensic analysis of profile usage, device data, and partner reports to identify emerging fraud tactics.
• Recommend and implement enhanced digital controls in partnership with IT Security.

Reporting and Insights

• Oversee dashboards and reporting on loyalty fraud trends.
• Present findings and recommendations to senior management, highlighting key risks, performance of fraud controls, and emerging threats.
• Deliver data-driven insights that inform long-term fraud prevention strategies.

Customer and Business Protection

• Ensure fraud prevention measures safeguard the business without compromising customer experience.
• Partner with internal teams to support impacted customers.
• Serve as a subject matter expert on loyalty fraud risks for internal and external stakeholders.

Compliance

• Conduct investigations in line with POPIA, GDPR, and internal data protection policies.
• Support audits, regulatory requests, and compliance reviews related to loyalty fraud.

Stakeholder Engagement

• Lead cross-functional engagement with Loyalty, CRM, IT, Operations, Training, and Legal.
• Provide regular fraud risk updates to senior executives and franchise stakeholders.
• Foster a culture of fraud awareness and proactive risk management across the organisation.

Key Skills and Competencies

• Senior-level experience in fraud investigation, prevention, or digital forensics, ideally within loyalty, payments, or financial services.
• Proven leadership skills, with the ability to manage a fraud portfolio and influence cross-functional teams.
• Strong analytical and investigative abilities, with expertise in fraud detection systems and forensic tools.
• Excellent communication and reporting skills, including the ability to brief senior executives.
• In-depth knowledge of loyalty fraud risks (e.g., account takeovers, promotion abuse, voucher exploitation).
• Strong knowledge of compliance frameworks (POPIA, GDPR) and customer data protection.
• Ability to balance business protection with customer experience.

Education and Experience Requirements

• Tertiary qualification in Risk Management, Forensic Accounting, Information Systems, or Computer Science.
• 5–7 years' experience in fraud investigation, risk management, or digital forensics, with at least 3 years in a senior or leadership role.
• Proven track record in managing a fraud prevention portfolio in loyalty, payments, retail, or financial services environments.
• Strong experience with fraud detection and monitoring systems, data analytics tools, and case management platforms.
• Demonstrated success in leading cross-functional teams (Operations, IT Security, Customer Service).
• Experience with regulatory and compliance frameworks (POPIA, GDPR, PCI DSS).
• Exposure to loyalty programme ecosystems (POS integration, voucher systems, customer data platforms) is advantageous.

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

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.

Empowering Africa's tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

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

• Bachelor's degree in Risk Management, Data Analytics, Information Systems, or related field.
• 2–4 years' 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.

Key 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

Key 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.

Rule 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.

Governance & 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.

Stakeholder 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

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

• Provide advice and support the advancement of Fraud Solutions technical knowledge and skills through learning interventions that close identified gaps.
• Identify, design and deliver formal and informal fraud specific learning and capability building interventions that support Fraud Solutions strategy and improves individual and business performance
• Provide advice and support in the development and implementation of fraud specific content planning and methods and techniques; enabling the provision of sound fraud insights.
• Leverage research and analysis of evolving fraud trends and modus operandi to advise the Fraud Squad and educate individuals and teams of the changing fraud environment.
• Ensure effective knowledge transfer and training, keeping the team updated with current fraud knowledge and trends.

Job Description
Accountability: Learning Content Accountability

• Regularly assess and identify training requirements for Fraud Solutions through needs/skills gaps analysis, career pathing and engagement with Hub Heads and management stakeholders.
• Ensure all learning needs are established and aligned to the Fraud Solutions Strategy and objectives.
• Develop appropriate learning curriculums and schedules and plan, organise, and deliver training initiatives based on identified needs.
• Provide expertise on assessment, design, delivery, measurement and evaluation of interventions so that they meet internationally benchmarked standards.
• Select the appropriate instructional methods and procedures for each unique learning situation to drive effective knowledge transfer.
• Bring forth strategic recommendations for learning methods and approaches where necessary.
• Develop, manage and track the learning and development budget and ensure work with the People Partner to ensure cost effectiveness of learning development solutions.
• Work with People Partner to support key initiatives/ programmes on developing the L&D agenda with utilisation of the apprenticeship / SETA levy and other resources as appropriate.
• Provide advice and support in the development and implementation of fraud specific content planning and methods and techniques; enabling the provision of sound fraud insights.
• Design and create learning material and content to deliver on learning needs and objectives.
• Leverage research and analysis of evolving fraud trends and modus operandi to develop content which can advise the Fraud Squad and educate individuals and teams of the changing fraud environment.

Accountability: Learning Delivery Management and Evaluation

• Take the lead on evaluating, developing and managing all Fraud Solution specific learning activity for Fraud Solutions to ensure ongoing effectiveness.
• Programme manage the delivery of bespoke learning and development interventions (Leadership, Learnerships, internships, Graduates) in collaboration with the People Partner.
• Ensure that all activities including courses, resources and systems meet identified needs. This includes the identification and sourcing of Subject Matter Experts (SMEs) from Fraud Solutions to drive effective Learning delivery.
• Identify and develop or source relevant training programmes, internally to optimise spend or from 3rd party vendors where required.
• Ensure that learning is always completed where mandatory and that the learning programmes are always up to date with the latest trends and information.
• Ensure integration of the curriculum and training with other learning centres and various other HR practices where applicable.
• Track learning attendance in all learning initiatives and prepare reports as required by Fraud Solutions leadership.
• Report on a suite of measurements that clearly demonstrate the impact and experience of learning.

Accountability: Stakeholder management and collaboration

• Consult with Fraud Solutions leadership / other key stakeholders on learning programmes or other relevant interventions that will support the strategy and business objectives.
• Collaborate with Hub Heads, management stakeholders and HRBP to identify learning needs and ensure that employees receive the necessary learning.
• Work with Hub Heads and management stakeholders to co-ordinate learning programs unique to their area and unique to individuals within the area.
• Responds to training requests and develop and deliver training on time and within the requested budget.
• Collaborate and consult with SMEs across Absa to determine effective learning solutions and processes to address development needs.

Preferred Education & Experience

• Appropriate Bachelor's Degree (NQF level 7)
• Bachelors Degree in Human Resources Development or a relevant Education, Training and Development Practices qualification
• Minimum 3-5 years' experience in a Learning and Development role
• Experience in successfully developing a variety of learning solutions including formal programmes, on-the job learning experiences and exposure
• Experience in a call centre or operations environment (Advantageous)
• Fraud technical experience (Advantageous)

Education
Bachelor`s Degrees and Advanced Diplomas: Law, Military Science and Security (Required)

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication