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DAT Freight & Analytics · 6 days ago

Senior Manager, Fraud Strategy & Prevention

Seattle, WA

Full-time

Hybrid

Senior Level

$136K/yr - $195K/yr

7+ years exp

DAT Freight & Analytics is a technology company at the forefront of transportation and logistics, helping businesses move freight with greater efficiency. They are seeking a Senior Manager, Fraud Strategy & Prevention to build and scale fraud prevention across DAT's global platform, combining analytical capabilities with strategic program leadership to protect the integrity of their marketplace and customers.

LogisticsTransportation

Responsibilities

Drive DAT's carrier and broker fraud prevention strategy across DAT's marketplace and the Convoy Platform with partnership and collaboration across Outgo and Trucker Tools to develop platform-specific and global responses to emerging fraud vectors

Proactively identify, investigate, and analyze fraud patterns, user behavior abnormalities, and security trends across DAT platforms by analyzing datasets and ingesting qualitative trends

Monitor real-time platform activity to detect emerging threats, suspicious behaviors, and potential vulnerabilities as programs scale and grow

Conduct comprehensive risk assessments using qualitative and quantitative data to uncover new and evolving threats, pulling investigative threads to their conclusion regardless of complexity

Build and maintain industry relationships to establish yourself as a thought leader in freight fraud prevention and security best practices

Collaborate with product, engineering, and data teams to translate security insights into technical requirements and solution specifications

Build and iterate on the CARVE methodology - the Convoy Platform’s forensic behavioral analysis approach for carrier onboarding, vetting, and continuous monitoring that proactively blocks risk before it's realized

Design scalable fraud detection and prevention processes that evolve with platform growth and emerging threats, balancing tactical quick wins with long-term strategic solutions

Partner with Risk Analysts and operational associates to create effective and sustainable processes to analyze fraud events and drive customer experience

Drive customer relationship excellence by clearly communicating fraud prevention capabilities, security measures, and risk mitigation strategies

Lead cross-functional initiatives to build technology solutions that proactively prevent fraudulent activities while minimizing friction for legitimate users

Qualification

Fraud prevention strategyData analysis/modelingAnalytical leadershipSQLRisk managementTechnical collaborationPartnership skillsCustomer-facing experienceThought leadershipOutstanding communicationSelf-motivated

Required

7+ years in analytical leadership roles managing complex, data-driven programs at scale

Exceptional pattern recognition and investigative skills - you identify fraud vectors and behavioral anomalies that others miss, even in large, complex datasets

Highly technical and quantitative - strong hands-on experience with SQL and data analysis/modeling to both analyze problems and build solutions

Strategic thinking combined with tactical execution - you're comfortable building from scratch in unstructured, fast-paced environments and can balance quick wins with long-term solutions

Proven ability to lead and develop analytical teams, with experience hiring, coaching, and motivating high-performing talent

Outstanding communication skills - you translate complex technical and security concepts into clear strategies for diverse audiences including customers, executives, and engineering teams

Technical collaboration experience working with product, engineering, and data science teams to build automated detection and prevention systems

Strong partnership skills working effectively with operational teams to create sustainable processes and drive customer experience

Self-motivated with ability to manage multiple complex investigations and strategic initiatives simultaneously

Preferred

Experience in fraud prevention, risk management, or trust & safety - particularly applying practices from finance, fintech, or marketplace industries to detect and prevent fraud at scale

MBA or advanced degree in Data Science, Engineering, Statistics, or related quantitative field

Customer-facing experience building trust and confidence through clear communication of risk mitigation capabilities

Track record building industry relationships or establishing thought leadership in security or risk domains