Analyst position focusing on fraud investigations at Dun & Bradstreet. Contributing to team efforts and utilizing AI-assisted tools for investigative efficiency.
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
Requirements
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
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