Network Governance Investigations Specialist

About DAT

Discover your future at DAT Freight & Analytics, where innovation meets impact. For over four decades, DAT has been at the forefront of transportation and logistics, helping businesses move freight with greater efficiency and confidence. We are a technology company that removes uncertainty from freight for truckers, brokers, and shippers every day. Our advanced tools and data intelligence empower professionals to make smarter decisions, optimize costs, and operate more successfully.

Through the industry's largest digital freight marketplace and insights derived from over $1 trillion in freight transactions, we provide the mission‑critical information that keeps supply chains running smoothly across the country. DAT is proud to be an award‑winning workplace that fosters innovation, celebrates success, and values professional growth. With strategic offices in Beaverton, Oregon, Denver, Colorado, Springfield, Missouri, and Bangalore, India, our teams collaborate to solve the transportation industry's most complex challenges.

Ready to shape the future of freight technology? Learn more

1/30/2026

DAT is seeking a Network Governance Investigations Specialist in Seattle, WA or Beaverton, OR to join our fraud prevention team and protect the integrity of DAT's marketplace. This is a hands‑on investigative role for someone who loves solving puzzles, digging into details, and protecting customers from fraud. You'll work closely with operational, engineering, and strategy teams to investigate suspicious activity, test fraud prevention tools, and provide critical insights that improve our access protections and detection capabilities.

As a Risk Analyst, you'll be on the front lines of fraud prevention – monitoring accounts, investigating cases, talking directly with users, and helping build the data foundation that powers our fraud detection systems. You'll gain exposure to fraud detection methodologies, work with product and engineering teams on security solutions, and develop specialized expertise in freight industry fraud patterns.

• Investigate suspected fraud cases by analyzing user behavior, transaction patterns, and account activity to identify fraudulent actors and understand their methods
• Partner with operational teams to review and investigate fraud alerts, determining whether activity is legitimate or fraudulent and documenting your findings
• Monitor high‑risk accounts and conduct outbound communication with users to verify legitimate activity and minimize false positives while protecting against fraud
• Tag and flag suspicious accounts and transactions to support machine learning model development and improve automated detection accuracy
• Conduct user acceptance testing (UAT) for proposed changes to fraud detection systems, security requirements, and prevention tools – providing feedback to product and engineering teams
• Analyze fraud patterns across DAT's marketplace and Convoy Platform to identify trends, behavioral indicators, and emerging threats
• Document investigation findings, fraud tactics, and actor behaviors to build institutional knowledge and inform fraud prevention strategy
• Collaborate with strategy teams to translate ground‑level insights into actionable recommendations for product improvements
• Support the development and refinement of the proprietary CARVE methodology by providing real‑world case data and testing new detection approaches
• Maintain accurate records of all fraud investigations, resolutions, and customer communications in fraud management systems

• 2‑4 years of experience in operations, customer support, compliance, risk, or a related analytical role
• Strong investigative mindset with exceptional attention to detail – you naturally dig deeper to understand the full story
• Analytical skills with ability to identify patterns and anomalies in data, user behavior, and transaction activity
• Excellent written and verbal communication skills, including ability to conduct professional conversations with customers about sensitive fraud‑related topics
• Comfortable working with data and basic…