Fraud Intelligence Officer Pathway
Data, intelligence and learning are the core pillars of fraud prevention and investigation. As a fraud intelligence specialist, your skills and knowledge will not only place you at the forefront of fighting fraud, but give you access to a range of career opportunities across the public and private sectors.
Our Fraud Intelligence Pathways are designed to provide you with the core foundations of intelligence, alongside practical skills in key areas of fraud detection and investigation.
The Fraud Intelligence Manager Pathway also teaches the core foundations of intelligence, but combines them with additional modules to help you get the best out of a fraud team, and work with other teams and departments.
Ideal for those starting or branching out into fraud intelligence, or for those who want to solidify and formalise their knowledge and experience, the Fraud Intelligence Officer Pathway is made up of five core modules that will enable you to become a well-rounded Officer or Analyst capable of taking on the vast majority of fraud intelligence roles.
Module details
Intelligence Foundation
Explore how to understand and uncover intelligence, as well as analyse and share it. You’ll study established models such as the Intelligence Cycle and the National Intelligence Model, and look at the impact of GDPR when recording and reporting your findings.
- Understanding intelligence – understand the clear delineation between data, information and intelligence, know how intelligence is used as part of an investigation
- Uncovering intelligence – explore a range of sources, understand the difference between open and closed sources, learn how to grade your intelligence to evaluate its reliability and validity
- Analysing intelligence – understand intelligence charting and practical analysis methods, explore alternative analysis types
- Sharing intelligence – adhere to core GDPR principles, capture methodologies and evidencing, write reports and risk assessments to a professional standard
Verifying Customer Identities
Learn how to distinguish between a genuine customer and a bad actor looking to exploit or cause harm, from analysing images and documents to understanding metadata and image manipulation, to reporting on your findings.
- Understand the process of customer verification
- Visually and technically analyse images and documents for customer verification
- Understand metadata and the role it plays in uncovering hidden information about the applicant
- Understand how to uncover manipulation or malicious editing of images and documents
- Understand how to put together a professional report of your findings
Investigating on the Dark Web
Stolen customer accounts, fraudulent templates and leaked information about your business and fraud procedures can all be found on the Dark Web. Learn how to operate in the Dark Web - safely, ethically, and legally – as well as more general investigative methodologies.
- Understanding the Dark Web – to understand networking and the internet, what the Dark Web is and how criminals use it, and the legal and operational issues around its use
- Explore the Dark Web – how to access and use the Dark Web [GJ1] safely, how to search for fraudulent items related to your business, and understand the tools and methodologies that can be used to assist in Dark Web investigations
- All about cryptocurrency – how cryptocurrencies work, their criminal value, how to buy and use cryptocurrency safely, and develop an understanding of blockchain analysis
Data Analytics
Understand how data fits into fraud investigations, and the tools and methodologies you need for effective and insightful work. Detect anomalies and inconsistencies that point to fraud, and record and present your findings.
- Foundation – understand how data analytics fits into fraud investigations, how to use MS Excel for investigative work, how to prepare and clean your data for analysis, and how to conduct sampling professionally
- Analysis - learn how to conduct broad analysis for inconsistencies that can signal fraud; understand detection methodologies such as Benford Analysis, the Luhn Algorithm and Relative Size Factoring; drill down into data to detect anomalies which can point to fraud
- Reporting – learn how to record your findings effectively; develop methodologies to chart and display data for use in counter-fraud investigations; understand how to present your analysis in a professional report
Multi-Source Intelligence Practitioner
Solidify your knowledge by role-playing practical scenarios of the skills and knowledge you have learned.
Entry requirements
Good written English required. No prior experience in fraud intelligence or management required.
Schedule & Teaching
The Pathways are designed and delivered by Peter Darby Associates working in partnership with the Cifas Fraud and Cyber Academy. You’ll undertake the course on Peter Darby Associates’ online learning platform, accessible 24/7, so you can study at your own pace.
Duration: 35-50 hours for each Pathway.
