Navan
Fraud Strategy Decision Scientist
Dallas, TX +1 · Full-time · Posted Oct 1, 2026
- Location
- Dallas, TX
Dallas, Texas, United States - Experience
- 7–10+ years in fraud strategy, fraud analytics, or financial crime risk management.
- Education
- Bachelor’s degree in a quantitative or analytical field; Master’s degree preferred.
About the job
Leads data-driven fraud strategies across Navan’s travel and expense platforms, translating analytics and machine-learning outputs into production rules, controls, and decision workflows.
What you'll do
- Design and optimize fraud rules, thresholds, and decision strategies across onboarding, payments, expense submissions, and transaction monitoring.
- Analyze fraud patterns and losses; manage performance metrics and experiment with strategy changes.
- Partner with Data Science, Engineering, Product, and Fraud Operations to implement and improve fraud controls.
What they ask for
- Production experience designing and managing fraud rules, policies, and decision strategies.
- Understanding of machine-learning models and features in fraud decisions.
- Proficiency in SQL and working knowledge of Python.
- Experience with large-scale data platforms such as Snowflake, Databricks, or Spark, or similar.
Nice to have
- Experience in fintech, payments, travel, or e-commerce.
- Master’s degree.
Tools
SQL, Python, Snowflake, Databricks, Spark
AI focus
The role uses machine-learning model outputs and features to inform fraud strategies. Navan also uses the AI-assisted Automated Employment Decision Tool Metaview to help evaluate resumes; human recruiters and hiring managers make final decisions, and candidates may request review without AI assistance.
Model-written summary · the original posting is authoritative