Head of Fraud Intelligence

SentiLinkFraud prevention

This is a remote, US-based role.Full-TimeDirector

Salary$180,000-$240,000/year + equity + benefits

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Job Details

Experience: 8+ years of experience in fraud operations, fraud intelligence, risk management, trust & safety, investigations, analytics, or a related domain, including significant people leadership experience; 4+ years of management experience overseeing a team of Fraud Analysts
Required Skills: Data AnalysisQuality AssuranceRisk Management

Have 8+ years of experience in fraud operations, fraud intelligence, risk management, trust & safety, investigations, analytics, or a related domain, including significant people leadership experience.
Have 4+ years of management experience overseeing a team of Fraud Analysts.
Demonstrate success leading operational teams responsible for high-volume, quality-sensitive workflows and measurable business outcomes.
Bring strong fraud judgment and a deep interest in evolving fraud patterns, typologies, and prevention strategies.
Have experience designing and improving processes, operating models, quality systems, and performance measurement frameworks.
Have experience developing and coaching early-career talent, building high-performing teams, and creating internal mobility pathways.
Use data to identify opportunities, measure outcomes, and drive decisions.
Bring technical fluency and comfort working with product, analytics, engineering, machine learning, and data science teams.
Have experience using AI, automation, workflow tooling, or operational technologies to improve productivity and quality.
Demonstrate written and verbal communication skills and the ability to influence technical and non-technical stakeholders.
Have experience leading cross-functional initiatives and aligning stakeholders around shared goals.
Balance strategic thinking with hands-on execution in a fast-paced, high-growth environment.

Establish performance baselines and metrics for labeling volume, quality, turnaround time, cost efficiency, SLA adherence, and business impact.
Design scalable quality assurance processes, including sampling, review frameworks, feedback mechanisms, and escalation procedures.
Reimagine FIT's operating model, workflows, tooling, and team structure to improve efficiency, scalability, and outcomes.
Build an entry-level talent program with hiring profiles, onboarding, training, and career development pathways for Fraud Intelligence Analysts.
Create progression frameworks to develop team members' technical, analytical, and fraud expertise and support advancement and internal mobility.
Develop measurement frameworks connecting FIT activities to fraud prevention outcomes, model improvements, detection enhancements, typology development, and customer impact.
Launch initiatives that turn frontline fraud observations into insights for Product, R&D, Analytics, GTM, and customer-facing teams.
Build stakeholder relationships and serve as a fraud subject matter expert and strategic partner across the company.
Establish recurring reporting, fraud trend analysis, and knowledge-sharing programs.
Use AI, automation, and process optimization to increase productivity and quality and enable higher-value fraud intelligence work.

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