DP World’s Fraud Risk Services internship is a three month onsite opportunity at the Head Office in Jafza 17, Dubai, running April 1 to June 30, 2026. You’ll support investigations, fraud detection, digital forensics, and awareness campaigns within a fast paced internal audit team, gaining hands on experience with data gathering, evidence analysis, dashboard monitoring, and global hotline materials. Ideal candidates are recent graduates or early career professionals in Finance, IT, Accounting or Data Analytics who understand AI tools and how to automate processes; PowerApps experience is a strong plus. To apply, tailor your CV to show analytical work, initiative, collaboration, concrete results, and be ready to discuss how you would contribute to fraud risk in a global setting.
Location: DP World Head Office, Jafza 17
Duration: 3 months
Start Date: 1 April 2026 – 30 June 2026
About the Role:
DP World’s Group Internal Audit Department is seeking a highly motivated and analytical intern to join the Fraud Risk Services (FRS) team. The role will support key global anti-fraud initiatives, including investigations, fraud detection, digital forensics, and awareness campaigns.
This internship offers a unique opportunity to gain hands-on experience in a fast-paced, high-impact environment, supported by experienced mentors in the field of fraud risk management.
Job Responsibilities:
Assist in conducting preliminary research and data gathering to support ongoing fraud investigations.
Support the analysis of digital evidence and activity logs to identify suspicious patterns or anomalies.
Help monitor and review fraud detection dashboards or alerts, escalating potential red flags for deeper review.
Collaborate with team members to document case findings and maintain investigation files.
Contribute to the development and distribution of fraud awareness materials (e.g., newsletters, infographics, or training decks), including global hotline deployment.
Assist in maintaining internal databases related to fraud cases, awareness initiatives, and analysing fraud trends.
Preferred Education & Experience: