| Date | Venue | Duration | |
|---|---|---|---|
| 12 - 16 October 2026 | Sandton, Gauteng | 5 Days | |
| 09 - 13 November 2026 | Sandton, Gauteng | 5 Days | |
| 18 - 22 January 2027 | Sandton, Gauteng | 5 Days | |
| 01 - 05 March 2027 | Sandton, Gauteng | 5 Days | |
| 12 - 16 April 2027 | Sandton, Gauteng | 5 Days |
Please note: This is not a final registration, one of our team members will contact you shortly to finalise your registration.
This Advanced Data Analytics for Fraud Detection in Financial Services Training course provides a practical and structured approach to leveraging data analytics for fraud detection, prevention, and investigation within banking and insurance environments. Participants are equipped with the skills to interpret complex financial, transactional, and claims data to identify anomalies, behavioural risks, and emerging fraud patterns.
2026 has changed the shape of this fight. The same generative and agentic AI that helps fraud teams score transactions in milliseconds and draft investigation summaries is now also being used to manufacture synthetic identities, clone voices, and generate convincing deepfakes at scale. This training bridges the gap between data analytics and fraud investigation by enabling participants to translate analytical findings into actionable investigative intelligence and reporting insights — built for a landscape where AI sits on both sides of the fraud fight.
This Office Administration and Secretarial Masterclass is available in two formats, so you can choose the depth that fits your time and needs:
The fraud landscape and AI arms race, behavioural red flags, analytical techniques, data-driven investigation, and governance and ethics.
Everything in the 2-Day Essentials in full depth, plus the full financial data ecosystem module and extended practical work across every technique and dataset type.
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
Discover how our courses enhance professionals’ effectiveness in their workplaces.
The Fraud Risk Management training was clear, practical, and very relevant to day-to-day work. Content was well structured and the real world case studies made concepts easy to apply. Presenter knowledge and engagement kept the session interactive. Overall a valuable program that strengthened my understanding of fraud detection, prevention, and regulatory requirements.
The facilitator was exceptionally good, approachable eloquent and was able to structure the course content to relate to our specific work designations, it was just perfect service delivery
Keep up the good work which I experienced during my training being training materials offered and great hospitality we received from all the staff members
Very informative course with good content and benchmarks of key players in South Africa. We are able to agree a plan on how to build an enterprise risk management framework for a developing group of companies. Several references to guide us and experienced Facilitators
Very happy with the training. It was excellently delivered and comprehensively covered all critical aspects of ESG and effectively contextualised them within the environments of our respective organisations.
The course was eye opening and exceeded my expectations.
Master anomaly detection, machine learning, and network analysis to identify financial risks. This course covers advanced data analytics for fraud detection to safeguard banking transactions.
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