Financial risk management has been fundamentally transformed by data analytics. The organisations best equipped to manage credit risk, detect fraud and meet regulatory requirements are those that know how to harness data effectively in their risk processes.
This course explores how data analytics is applied across financial risk management, covering credit scoring and risk modelling, fraud detection using advanced analytics, and how to apply stress testing and scenario analysis. You will also explore how analytics supports regulatory compliance, helping your organisation meet its obligations whilst making better risk decisions. You will leave with practical knowledge of the analytical techniques changing risk management and how to implement them in your own context.
This course is part of our full range of digital training courses – explore the complete programme to find the right development for you and your team.
This course is designed for finance and risk professionals who want to understand and apply data analytics in risk management. It is also suitable for:
By the end of this session, delegates will be able to:
This course sits within our broader digital training courses – browse the full range to build a complete development pathway for your organisation.
Remember, all sessions include:
All our digital training courses are delivered by professionals who have successfully implemented data analytics and digital transformation in real organisations – people who understand both the technology and the business application.
We bridge the gap between technical concepts and business reality, focusing on what finance and business professionals actually need to know and use – not abstract computer science theory.
All sessions include 4 weeks of follow-up email refreshers to further embed the learning.






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