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Navan is expanding its Fraud Risk Management organization to build world-class fraud prevention and detection capabilities across our travel and expense platforms. We are seeking a Fraud Strategy Manager to lead data-driven fraud strategy initiatives focused on machine learning features, rules development, and scalable fraud controls. This role is ideal for a fraud strategy manager who blends strong data science intuition with practical fraud rule design, understands how models and rules work together in production, and can partner deeply with Product, Engineering, and Fraud Operations to reduce fraud losses while enabling business growth. You will play a critical role in shaping Navan’s end-to-end fraud strategy, translating advanced analytics and ML outputs into actionable rules, thresholds, workflows, and policy decisions across expense card issuing, payments, onboarding, and travel fraud.
Job Responsibility:
Own and drive fraud strategy for key risk areas across travel and expense, balancing fraud loss reduction with customer experience
Design and evolve fraud rules, thresholds, and decision workflows, informed by data science models, ML features, and investigative insights
Partner closely with Data Science teams to translate machine learning model outputs and features into effective, explainable fraud strategies
Lead strategy development across onboarding, payments, expense submissions, and transaction monitoring
Apply advanced analytics techniques (trend analysis, segmentation, clustering, network analysis) to identify emerging fraud patterns and control gaps
Perform root-cause analysis and loss attribution, quantifying financial impact and prioritizing strategy improvements
Own strategy performance metrics, including fraud loss, approval rates, false positives, and customer friction
Collaborate cross-functionally with Fraud Operations to ensure strategies are operationally executable and continuously optimized
Partner with Engineering and Product to implement fraud strategies into real-time and batch decisioning systems
Drive experimentation and A/B testing of rules, thresholds, and model-driven strategies
Contribute to the long-term fraud strategy roadmap, including tooling, rule engines, model integration, and automation
Support vendor evaluations and third-party data integrations to enhance detection signals
Mentor junior fraud strategists and analysts, setting best practices for strategy design, documentation, and governance
Requirements:
7–10+ 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 (ATO, synthetic identity, first-party fraud, third-party fraud, scams)
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
Bachelor’s degree in a quantitative or analytical field
Master’s degree preferred
Nice to have:
Experience in fintech, payments, travel, or e-commerce environments preferred
Master’s degree preferred
What we offer:
Generous medical plans, dental, and vision benefits with premiums covered by Navan
Various insurance options designed to cover each family's needs