Senior Data Scientist, Fraud Operations
Core
Design and scale advanced data science solutions for fraud detection, prevention, and analytics to protect Navan's travel and expense businesses.
Role type
Senior hands-on IC data scientist (fraud operations)
Builds
Next-generation fraud models, rule workflows, and real-time monitoring systems for travel and expense platforms
Domain
Financial services / Payment processing / Fraud detection
Deliverable
production ML models
Required skills
Machine learning, predictive modelling, anomaly detection, network/graph modelling, Python, SQL, big data platforms (Snowflake, Databricks, Spark), payment processing knowledge, fraud typologies understanding
Preferred skills
PhD in quantitative field, fraud detection tools/rule engines experience, streaming data systems familiarity
Technologies
Python, SQL, Snowflake, Databricks, Spark
Responsibilities
Lead design and deployment of ML features and rule workflows; Develop advanced ML/statistical models for fraud detection; Drive applied research in anomaly detection and link analysis; Own model lifecycle management from engineering to monitoring; Perform root-cause and loss attribution analyses; Mentor junior data scientists and fraud analysts; Partner with cross-functional teams to translate insights into prevention rules
Seniority
Senior, hands-on IC
