Head of Fraud Intelligence - SentiLink

About the Role

The Head of Fraud Intelligence is responsible for transforming SentiLink's Fraud Intelligence Team (FIT) into a high-impact fraud intelligence function. This leader will oversee the evolution of FIT's operating model, ensuring the team delivers high-quality fraud labeling, generates actionable fraud intelligence, develops future technical talent, and creates measurable business impact through fraud prevention initiatives.

Responsibilities

• Operational Excellence: Establish clear performance baselines and operational metrics, including labeling volume, quality, turnaround time, cost efficiency, and SLA adherence.
• Quality Assurance: Design and implement scalable quality assurance processes, including sampling methodologies, review frameworks, and escalation procedures.
• Strategic Evolution: Reimagine FIT's operating model, workflows, tooling, and team structure to improve efficiency and scalability.
• Talent Development: Build a best-in-class entry-level talent program, defining hiring profiles, onboarding, and career development pathways for Fraud Intelligence Analysts.
• Measurement Frameworks: Connect FIT activities to measurable fraud prevention outcomes, such as model improvements, typology development, and customer impact.
• Cross-Functional Partnership: Launch initiatives that transform frontline fraud observations into actionable insights for Product, R&D, Analytics, and GTM teams.
• Innovation: Leverage AI, automation, and process optimization to increase team productivity and focus on high-value intelligence work.

Requirements

• 8+ years of experience in fraud operations, risk management, trust & safety, or related domains.
• 4+ years of management experience overseeing a team of Fraud Analysts.
• Proven ability to design and improve operational processes and performance measurement frameworks.
• Strong analytical skills with the ability to use data to drive decision-making.
• Technical fluency and experience working closely with product, engineering, and machine learning teams.
• Exceptional communication skills with the ability to influence stakeholders across technical and non-technical audiences.
• Strong ownership mindset and ability to balance strategic thinking with hands-on execution.