Senior Data Scientist, Fraud Operations

Earnmodes; Bengaluru; Presencial; INR 1 200 000 - 1 800 000; Tempo integral

Resumo da oferta

Navan is seeking a Senior Data Scientist, Fraud Operations, to design and scale advanced ML solutions that protect customers, platform, and financial ecosystem. This strategic, hands-on role partners with risk strategy, product, engineering, and data teams to build ML features, rule workflows, and next-generation models for travel and expense fraud.

This role will own the model lifecycle from feature engineering to monitoring, conduct analyses to quantify impact, and mentor junior data

Responsabilidades

• 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 fraudulent behavior across onboarding, payments, and expense workflows.
• Drive applied research in anomaly detection, network/graph modelling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings.
• Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions.
• Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimisation.
• Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite.
• Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal.
• Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics.
• Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility.
• Contribute to the overall fraud strategy roadmap, helping evolve Navan’s machine learning and analytics capabilities to stay ahead of emerging fraud trends.
• Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall.

Descrição da oferta de emprego

Job Description

Senior Data Scientist, Fraud Operations
Location:Bengaluru, IN

Department:Security, Risk & Fraud
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 fraudulent behavior across onboarding, payments, and expense workflows.
• Drive applied research in anomaly detection, network/graph modelling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings.
• Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions.
• Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimisation.
• Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite.
• Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal.
• Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics.
• Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility.
• Contribute to the overall fraud strategy roadmap, helping evolve Navan’s machine learning and analytics capabilities to stay ahead of emerging fraud trends.
• Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall.

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

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 your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.
Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

About Navan

Navan (Nasdaq: NAVN) is the global AI-powered business travel and expense platform that makes travel easy for frequent travelers. From finding flights and hotels, to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.

Culture of Excellence

Our team is our competitive edge — a high-performance group of smart, driven people committed to winning together. This dedication to excellence is why we’ve been recognized as a Best Place to Work by Built In (2023–2026), a G2 Best Global Software Company (2025–2026), Forbes Cloud 100 (2022–2025), and CNBC Disruptor 50 (2022–2025). At Navan, we provide an environment where top talent excels, offering the autonomy and fast-paced trajectory needed to build a defining career and do the best work of your life.

Our Benefits

Navan offers a comprehensive benefits program designed to support your well-being, financial security, and life outside of work. Our benefits, thoughtfully tailored by country to meet local needs, include healthcare coverage, insurance offerings, and wellness resources for you and your family.

We support long-term financial growth through retirement savings programs and opportunities to participate in our equity plans, so you can share in Navan’s success. To promote balance, we offer flexible time off, country-specific holidays, and paid parental leave for all new parents. Additional benefits include connectivity and commuting support*, mental health resources, and exclusive travel-related perks. Wherever you’re based, our benefits evolve with you.

Workplace Policy

Navan believes in the value of in-person connections, whether that’s sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improve company culture and drive business results. Navan invests in global office spaces — in the U.S., Europe, and Asia, among others — that feel welcoming. In-office perks such as company-provided lunches and happy hours create a strong team environment to help you do your best work. Our employees work from the office four days a week. Please expect this policy for all roles that are tied to an office.

Equal Opportunity

Navan is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the bases of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We prohibit any such discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.

Accommodations

Navan complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Navan will reasonably accommodate qualified individuals with a disability in connection with applications for employment as required by law.

If you need any assistance or accommodations due to a disability, you are welcome to email us at [e-mail].

Candidate Privacy Notice and Use of AI

As part of the recruitment process, certain personal data may be processed using automated tools, including tools that use AI. For details on how Navan collects and uses your personal data, please review Navan’s Candidate Privacy Notice here