Network Governance Analyst

DAT•Seattle, WA

11d•$52,000 - $87,000•Hybrid

About The Position

DAT is seeking a Network Governance Analyst 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.

Requirements

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 analytical tools (Excel/Sheets required; SQL is highly desired)
Problem-solving ability and sound judgment to make decisions about risk, balancing fraud prevention with customer experience
Self-motivated and able to manage multiple investigations simultaneously while maintaining thorough documentation
Team player who collaborates effectively with cross-functional partners including operations, product, engineering, and data teams
Adaptable and comfortable in fast-paced, evolving environments where processes are being built and refined
Bachelor's degree in Business, Criminal Justice, Data Analytics, or related field (or equivalent combination of education and experience)

Nice To Haves

Experience with case management or CRM systems such as Salesforce for tracking investigations, documenting findings, and managing customer communications (strongly preferred)
Experience in fraud prevention, risk management, trust & safety, or financial crimes investigation (strongly preferred)
Basic SQL or data analysis experience for querying databases and analyzing patterns (strongly preferred)
Background in transportation, logistics, marketplace platforms, or financial services (strongly preferred)

Responsibilities

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