Analyst, Fraud Operations (R-19049) at Dun & Bradstreet, Inc - Canada

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud prevention, Data analysis, Investigation, Python, SQL, Microsoft Office Suite, Artificial intelligence, Automation, Link analysis, Social network analysis, Graph databases, Risk assessment, Analytical techniques, Business analysis, Attention to detail

Industry

Information Services

Description

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Job Summary: 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. \n 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 \n All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

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Responsibilities

The Operations Analyst will identify and investigate businesses exhibiting high-risk or malfeasant characteristics to protect the integrity of the company's data. They will collaborate with cross-functional teams to implement effective controls and leverage AI-assisted tools to improve investigative efficiency.