Fraud Analytics Officer

About the role

The Fraud Analytics Officer will use data analytics to detect, prevent and mitigate fraud across digital platforms. Working closely with operations, IT, cybersecurity and compliance, the role supports the development and optimisation of fraud detection rules and provides actionable insights to senior management.

Key responsibilities

• Monitor digital transactions, customer behaviour and fraud alerts to identify suspicious activities and emerging fraud trends.
• Design, calibrate and continuously improve fraud detection rules, thresholds and scenarios to maximise capture while reducing false positives.
• Analyse fraud data, incident trends and loss exposure; create dashboards, reports and actionable insights for management.
• Assess vulnerabilities across digital channels and recommend preventive controls, system enhancements and risk‑mitigation measures.
• Review and optimise alert volumes, improve prioritisation and support operational efficiency through alert rationalisation.
• Collaborate with business units, operations, IT, cybersecurity, compliance and vendors on fraud‑related projects and system enhancements.
• Ensure monitoring activities comply with internal policies, AML requirements, regulatory expectations and industry best practices.

Required profile

• Knowledge of digital banking products, payment channels and common fraud typologies.
• Understanding of fraud risk management principles, transaction monitoring and detection methodologies.
• Strong analytical ability to review transactions and identify fraud indicators with minimal oversight.
• Excellent communication skills to present insights, operational issues and recommendations to stakeholders.
• Ability to make sound, timely judgments during fraud incidents and escalations.

Required skills

• Microsoft Excel
• Reporting analytics tools
• Data analysis
• Fraud monitoring systems