tripactions · Bengaluru, IN
Skills: Python, SQL
Navan is expanding its Fraud Risk Management team to build world-class fraud detection, prevention, and analytics capabilities supporting our rapidly growing travel and expense businesses. We are seeking a highly skilled and visionary Data Scientist, Fraud, to design and scale advanced data science solutions that protect Navan’s customers, platform, and financial ecosystem. This is a strategic and hands-on role, where you’ll partner with other fraud strategy members, product, engineering, and data teams to design the ML features, build the rule workflow, build next-generation fraud models, develop actionable insights, and lead the application of AI/ML to mitigate emerging fraud threats both in expense card issuing and travel fraud. The ideal candidate combines deep technical expertise in machine learning and data systems with a strong understanding of payment, identity, and transactional fraud patterns. Location: Bangalore, India What You’ll Do Lead the design and deployment of advanced ML features, build rule workflows to detect and prevent fraud across travel and expense. Lead the design and development of advanced ML and statistical models to detect, predict, and prevent fraudule …truncated… liarity with fraud detection tools, rule engines, and streaming data systems is a plus. Proven ability to communicate complex data science findings to technical and non-technical audiences, including executives. Experience collaborating in cross-functional teams that include Product, Engineering, and Fraud Operations. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. Your rights: If you prefer to have…
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