Lead, Fraud Strategy

Navan is seeking a Lead, Fraud Strategy to lead data-driven fraud strategy initiatives focused on machine learning features, rules development, and scalable fraud controls. The role involves designing and evolving fraud rules, thresholds, and decision workflows, partnering with Data Science teams, and driving strategy development across onboarding, payments, expense submissions, and transaction monitoring.

Requirements

• 5+ years of experience in fraud strategy, fraud analytics, or financial crime risk management
• Strong experience designing and managing fraud rules, policies, and decision strategies in production environments
• Deep understanding of how machine learning models and features are used to inform fraud decisions
• Proficiency in SQL and strong working knowledge of Python for analysis and strategy validation
• Experience working with large-scale data platforms such as Snowflake, Databricks, Spark, or similar
• Solid understanding of card payments, transaction flows, identity verification, and fraud typologies
• Demonstrated ability to partner effectively with Data Science, Engineering, Product, and Fraud Operations teams
• Strong analytical mindset with the ability to translate complex data into clear, actionable strategy decisions
• Excellent communication skills, including presenting strategy recommendations to senior leadership
• Experience in fintech, payments, travel, or e-commerce environments preferred