Navan · 1 day ago
Fraud Strategy Manager
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.
Business TravelFinancial ServicesPaymentsSoftware
Responsibilities
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
Qualification
Required
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
Bachelor's degree in a quantitative or analytical field
Preferred
Experience in fintech, payments, travel, or e-commerce environments preferred
Master's degree preferred
Company
Navan
Navan provides travel, expense, and corporate card management to automate manual processes and drive spend visibility.
H1B Sponsorship
Navan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (22)
2023 (38)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Goldman Sachs Bank USACoatueGreenoaks
2025-10-30IPO
2025-04-07Convertible Note
2022-12-08Debt Financing· $400M
Recent News
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2026-01-03
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