Senior Fraud & Operational Risk Analyst Gauteng

Lesaka Technologies is actively recruiting for a Senior Fraud & Operational Risk Analyst position in Gauteng. This is an excellent opportunity for professionals in the Finance / Accounting / Audit sector looking to advance their careers.

• Experience Level: 3 - 5 years • Educational Background: Bachelor or equivalent • Industry Focus: Finance / Accounting / Audit • Location Preference: in Gauteng

Financial professionals like Senior Fraud & Operational Risk Analyst are vital for organizational stability and compliance. This role offers the opportunity to impact business strategy and financial health.

This role in Finance / Accounting / Audit offers valuable career progression opportunities aligned with your experience level and professional aspirations.

When applying for this Senior Fraud & Operational Risk Analyst position, ensure your CV highlights: • Relevant experience matching the 3 - 5 years requirement • Educational qualifications in line with Bachelor • Specific achievements in the Finance / Accounting / Audit field • Any certifications or specialized training

The Finance / Accounting / Audit sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.

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The Senior Fraud & Operational Risk Analyst is responsible for executing and strengthening first-line fraud and operational risk management across the bank/fintech. The role focuses on fraud risk identification, monitoring, analytics, investigations, remediation, and control enhancement across products, channels, systems, and customer journeys. This position plays a critical role in protecting the organisation against fraud, financial crime, and operational losses while supporting regulatory compliance, business growth, and customer trust.

Fraud Risk & Operational Risk Management (First Line)

Identify, assess, and manage fraud and operational risk exposures across products, channels, systems, and processes. Maintain and enhance fraud risk assessments, risk and control matrices (RCMs), and fraud risk registers. Design, implement, and monitor preventive and detective fraud controls aligned to the organisation’s risk appetite. Act as a first-line risk partner to business, product, technology, and operations teams.

Fraud Monitoring & Detection

Develop, manage, and optimise transaction monitoring rules, alerts, and fraud detection logic across core banking and digital platforms. Analyse fraud trends, typologies, root causes, and emerging risks. Review fraud alerts and support escalation, containment, and decision-making processes.

Data Analytics & Technology Enablement

Use data analytics to identify anomalies, patterns, and fraud indicators. Write and optimise queries using SQL and support analytics using Python and/or Java. Contribute to the development and enhancement of AI and machine learning–based fraud models (rules-based, supervised and unsupervised). Partner with technology teams to enhance core banking systems, fraud engines, and monitoring platforms.

Investigations & Case Management

Conduct and support fraud investigations, including transactional analysis, evidence gathering, and root cause analysis. Prepare investigation reports, loss assessments, and management summaries. Support recovery actions, internal disciplinary processes, and referrals to law enforcement where required.

Remediation & Control Enhancement

Drive remediation actions following fraud incidents, control failures, audits, or regulatory reviews. Recommend and implement control improvements, system enhancements, and process changes. Track remediation actions to closure and report on effectiveness.

Reporting & Stakeholder Engagement

Produce regular fraud risk, losses, trends, and KPI reporting for senior management and governance forums. Present insights, findings, and recommendations to stakeholders across risk, compliance, operations, and technology. Contribute to fraud risk strategy, policies, standards, and procedures.

Key Competencies & Skills

Technical & Analytical Skills

Strong fraud risk and operational risk management capability. Advanced data analysis and problem-solving skills.

SQL Python Google Cloud Console Looker Studio PowerBi Azure Experience working with AI and Machine Learning concepts for fraud detection (model development, tuning, validation, or implementation). Strong understanding of transaction monitoring systems, fraud engines, and core banking platforms.

Risk & Fraud Expertise

Deep understanding of fraud typologies (card fraud, digital fraud, account takeover, internal fraud, payments fraud, etc.). Experience designing and maintaining risk and control matrices (RCMs). Knowledge of banking and fintech operating models, products, and payment ecosystems.

Behavioural & Professional Skills

Strong investigative mindset with high attention to detail. Ability to translate data and technical findings into clear business insights. Excellent stakeholder engagement and communication skills. Strong ownership, accountability, and ability to work independently. Ability to operate in fast-paced, agile, and evolving environments.

Qualifications & Experience

Minimum Requirements

Bachelor’s degree in finance, Risk Management, Accounting, Information Systems, Data Science, or a related field. 3–5 years’ experience in fraud risk management, operational risk, financial crime, or analytics within a bank or fintech. Hands-on experience with fraud monitoring, investigations, analytics, and remediation.

Advantageous

Postgraduate qualification or professional certification in Risk, Fraud, AML, or Data Analytics. Experience with fintech platforms, digital banking, or payments. Exposure to regulatory engagements, audits, or assurance reviews. Experience implementing or enhancing AI/ML-driven fraud solutions

Key Performance Indicators (KPIs)

Reduction in fraud losses and repeat incidents. Effectiveness of fraud detection and monitoring controls. Timely closure of investigations and remediation actions. Quality of fraud risk assessments, RCMs, and reporting. Stakeholder satisfaction and audit/regulatory outcomes.

Closing Date 07 September 2026