Analyst, Fraud Operations (R-19049)
Eyeota
Job Description – First Line Fraud (FLOD – B2)
Role: Operations Analyst, Fraud Operations
Within the Fraud Operations organization, we are seeking motivated, detail‑oriented individuals interested in building a career in anti‑fraud. This role provides an opportunity to work at the front line of fraud prevention and materially contribute to protecting the integrity of Dun & Bradstreet’s Data Cloud.
The Operations Analyst will report to the Manager, Fraud Operations, and will play a critical role in identifying, analyzing, and investigating businesses that may be exhibiting malfeasant or high‑risk characteristics. The position involves close collaboration with cross‑functional teams to detect emerging fraud patterns and implement effective controls that mitigate material misrepresentation. These efforts support operational efficiency while ensuring high standards of data quality and customer value.
Key Responsibilities:
- Identify and investigate businesses that may demonstrate malfeasant characteristics, primarily within the United States and occasionally across other markets
- Apply analytical techniques and business analysis tools to detect suspicious or high‑risk business attributes as part of targeted investigative initiatives
- Contribute to team‑based efforts that implement changes and controls to safeguard the D&B database from material misrepresentation
- Identify emerging fraud trends and patterns and escalate insights as appropriate
- Leverage AI‑assisted tools, such as copilots, automated analytics, and workflow enhancements, to improve investigative efficiency and accuracy
- Document findings clearly and support continuous process improvement initiatives
Key Skills:
- Bachelor’s degree from an accredited college or university in Criminal Justice, Sociology, Public Safety, Cyber Security, or a related field
- 1 to 3 years of relevant professional experience, preferably in a corporate, analytical, operational, or investigative environment
- Strong proficiency in Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook
- Proven ability to develop and use Python for analytics or automation, along with SQL for complex query development
- Working knowledge of emerging automation and AI capabilities, with demonstrated interest in expanding technical proficiency
- Familiarity with link‑analysis or social network analysis tools such as Analyst’s Notebook, Palantir, or graph databases is advantageous
- Ability to adapt and perform effectively in a fast‑paced, evolving environment
- Strong attention to detail with the ability to assess information accurately and consistently
