Head of Risk Operations

Responsibilities

• Establish performance baselines and operational metrics for the Fraud Intelligence Team, including labeling volume, quality, turnaround time, cost efficiency, SLA adherence, and downstream business impact.
• Design scalable quality assurance processes, including sampling methodologies, review frameworks, feedback mechanisms, and escalation procedures.
• Improve operating models, workflows, tooling, and team structures for efficiency, scalability, and business outcomes.
• Build entry-level talent programs covering hiring profiles, onboarding, training, and career development for Fraud Intelligence Analysts.
• Create progression frameworks supporting technical, analytical, and fraud expertise development and internal mobility.
• Connect team activities to measurable fraud prevention outcomes, including model improvements, fraud detection enhancements, typology development, and customer impact.
• Turn frontline fraud observations into actionable insights for Product, R&D, Analytics, GTM, and customer-facing teams.
• Serve as a fraud subject matter expert and strategic cross-functional partner.
• Establish recurring reporting, fraud trend analysis, and knowledge-sharing programs.
• Leverage AI, automation, and process optimization to increase productivity and quality.

Requirements

• 8+ years of experience in fraud operations, fraud intelligence, risk management, trust and safety, investigations, analytics, or a related domain, including significant people leadership experience.
• 4+ years of management experience overseeing Fraud Analysts.
• Experience leading high-volume, quality-sensitive operational teams with measurable business outcomes.
• Strong fraud judgment and knowledge of evolving fraud patterns, typologies, and prevention strategies.
• Experience designing processes, operating models, quality systems, and performance measurement frameworks.
• Experience developing early-career talent and building high-performing teams.
• Strong analytical, written, and verbal communication skills.
• Technical fluency and experience working with product, analytics, engineering, machine learning, and data science teams.
• Experience with AI, automation, workflow tooling, or operational technologies.
• Ability to lead cross-functional initiatives, drive change, balance strategy with execution, and hold teams accountable.
• Curiosity, first-principles thinking, and a continuous improvement mindset.

Compensation and Benefits

• $180,000–$240,000 per year, plus equity and benefits.
• Employer-paid group health insurance for employees and dependents.
• 401(k) plan with employer match.
• Flexible paid time off.
• Regular company-wide in-person events.
• Home office stipend.