Head of Risk Operations
S
SentiLinkFraud Intelligence
United StatesFull-TimeManager
Salary$180,000-$240,000/year + equity + benefits
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Job Details
- Experience
- 8+ years
- Required Skills
- Artificial IntelligenceData AnalysisRisk Management
Requirements
- 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
- Demonstrated success leading operational teams responsible for high-volume, quality-sensitive workflows and measurable business outcomes
- Strong fraud judgment with a deep interest in understanding evolving fraud patterns, typologies, and prevention strategies
- Proven ability to design and improve processes, operating models, quality systems, and performance measurement frameworks
- Experience developing and coaching early-career talent, building high-performing teams, and creating internal mobility pathways
- Strong analytical skills with the ability to use data to identify opportunities, measure outcomes, and drive decision-making
- Technical fluency and comfort working closely with product, analytics, engineering, machine learning, and data science teams
- Experience leveraging AI, automation, workflow tooling, or operational technologies to improve productivity and quality
- Exceptional written and verbal communication skills, with the ability to influence stakeholders across technical and non-technical audiences
- Demonstrated ability to lead cross-functional initiatives and align diverse stakeholders around shared goals
- Strong ownership mindset with a track record of driving change, executing against ambitious goals, and holding teams accountable to high standards
Responsibilities
- Establish clear performance baselines and operational metrics for FIT, including labeling volume, quality, turnaround time, cost efficiency, SLA adherence, and downstream business impact.
- Design and implement scalable quality assurance processes, including sampling methodologies, review frameworks, feedback mechanisms, and escalation procedures to continuously improve labeling accuracy and consistency.
- Reimagine FIT's operating model, workflows, tooling, and team structure to improve efficiency, scalability, and business outcomes.
- Build a best-in-class entry-level talent program by defining hiring profiles, onboarding experiences, training programs, and career development pathways for Fraud Intelligence Analysts.
- Develop credible measurement frameworks that connect FIT activities to measurable fraud prevention outcomes, including model improvements, fraud detection enhancements, typology development, and customer impact.
- Launch and scale initiatives that transform frontline fraud observations into actionable insights for Product, R&D, Analytics, GTM, and customer-facing teams.
- Serve as a trusted fraud subject matter expert and strategic partner across the company, building strong relationships with stakeholders and ensuring FIT's insights influence key business decisions.
- Leverage AI, automation, and process optimization opportunities to increase team productivity, improve quality, and enable FIT to focus on higher-value fraud intelligence work.
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