Entry Level Fraud Analyst Jobs in Irving, TX

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Data Analyst / Data Engineer (Anti-Money Laundering / Fraud background) - W2 Candidate only

Maven Companies

Remote

Contract

Data Analytics Engineer, Remote Must have AML/Fraud, and SQL/Python experience. Must work PST Hours. The role is a combo Data Analyst / Data Engineer; someone who is super strong in SQL and Python. They also need someone with Anti-Money Laundering / Fraud backgroundfrom the banking/finance industry. A huge bonus would be someone with Link Analytics experience.

Senior Engagement manager- Fraud Strategy

Innova Solutions, Inc

Dallas, Texas, USA

Full-time

A client of Innova Solutions is immediately hiring for a Senior Engagement manager- Fraud Strategy Position type: Full-time Location: Dallas, TX 75247 (onsite) As a Senior Engagement manager- Fraud Strategy, you will: Job Description The ideal candidate will have: Must have experience with focus on fraud strategy developmentExperience in consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domainsHands-on experience with SAS/SQL an

Fraud Recovery Investigations - VP

Guidehouse

Richardson, Texas, USA

Full-time

Job Family: Investigator Travel Required: Up to 10% Clearance Required: None What You Will Do: Manage the Fraud Recovery function, including personnel management, queue management, quality assurance, and procedure training.Oversee queue assignments, case aging, and overall queue health to ensure timely and efficient processing of cases.Conduct quality assurance reviews of fraud recovery cases to ensure accuracy, completeness, and adherence to established procedures.Determine action required b

Sr Data Scientist - Financial Crimes & Fraud Prevention, VP (Hybrid)

Citi

Remote or San Antonio, Texas, USA

Full-time

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate