Fraud Intelligence Lead

About the Role

In this role, you will be a senior individual contributor and domain expert driving proactive fraud identification and mitigation across the platform. You will translate complex fraud signals into platform-level controls, rules, and policies — and connect trend-level insights to broader systemic risk. Success means disrupting upstream risks, shaping proactive fraud strategies, and building scalable defenses that directly enhance platform trust and resilience.

Key Responsibilities

• Proactive Threat Mitigation: Analyze large-scale fraud signals and translate complex data into platform-level controls, rules, and policies to stop bad actors upstream.
• Strategic Analysis: Analyze fraud trends and patterns using SQL and Python, utilizing tools to visualize findings and drive data-informed decision-making.
• Cross-Functional Partnerships: Collaborate and manage relationships with data, product, trust & safety, legal, and policy teams, as well as external vendors, to design and implement new fraud countermeasures and automated defenses.
• Executive Reporting: Develop and present clear investigative reports and fraud intelligence summaries to leadership and cross-functional partners using Slides and data visualization tools.
• Systemic Improvement: Identify automation opportunities to streamline detection processes and reduce manual operational lift; build and develop holistic detection systems through prototyping tooling and defining data requirements.
• Analyst & Strategist Mentorship: Guide and mentor the team, improving individual capabilities and overall program effectiveness.

Qualifications

• Years of Experience: 6+ years of experience in fraud intelligence, risk analytics, or related fields (e.g., financial crime, marketplace fraud, platform abuse).
• Trend-Level Intelligence: Demonstrated expertise connecting trend-level insights to broader fraud patterns and systemic risk, rather than just resolving individual cases.
• Technical Proficiency: Advanced proficiency with SQL and Python for analysis; experience building dashboards and visualizations in Tableau.
• Fraud Typology Knowledge: Deep understanding of Account Takeover (ATO), Scams, behavioral analysis, and related fraud typologies.