Navan Recruitment Drive; Hiring Threat Intelligence Analyst – Apply Now

Threat Intelligence Analyst Job Openings in Bangalore 2026!!!

Navan announced job vacancy for the post of Threat Intelligence Analyst. The place of posting will be at Bangalore. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Navan
Required Qualifications	Graduate
Skills	Strong analytical and investigative mindset
Category	Security, Risk & Fraud
Work Type	Onsite

Navan is building a best-in-class Fraud Risk Management team to support their rapidly growing travel and expense management businesses. They are seeking a curious and highly analytical Fraud Threat Intelligence Analyst to proactively identify, analyze, and report on emerging threats that could impact their platform and their customers.

This is not a traditional operations role focused on reviewing transaction queues. Instead, you will be a detective, responsible for researching the external threat landscape and performing deep-dive analysis of internal data to uncover sophisticated fraud patterns. Your work will generate the actionable intelligence their organization needs to stay ahead of fraudsters. You will report to the Senior Manager, Fraud Operation and Investigations within the Risk Management organization.

Job Details

Θ Positions: Threat Intelligence Analyst

Θ Job Location: Bangalore

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 7542667

Roles and Responsibilities:

• Proactively Hunt for Threats: Monitor and analyze raw data from various sources (transactions, user behavior, network data) to identify emerging fraud patterns, anomalies, and sophisticated attack vectors.
• Investigate Fraud Networks: Conduct deep-dive investigations into organized fraud rings using link analysis and other advanced techniques to map out networks, infrastructure, and methodologies.
• Monitor the External Landscape: Research external intelligence sources, including dark web forums, security blogs, and industry reports, to stay ahead of new fraud Tactics, Techniques, and Procedures (TTPs).
• Produce Actionable Intelligence: Develop and disseminate clear and concise intelligence reports, threat briefings, and alerts to key stakeholders, including Operations, Data Science, and leadership.
• Inform our Defenses: Collaborate with Data Science and Fraud Operations teams to translate your intelligence findings into recommendations for new detection rules, model features, and preventative strategies.
• Maintain a Knowledge Base: Build and maintain a repository of fraud intelligence, tracking key threat actors, TTPs, and indicators of compromise (IOCs) relevant to Navan.
• Present Your Findings: Clearly articulate and present complex threat analyses and investigative findings to technical and non-technical audiences.

Required Skills & Qualifications:

• 1-3 years of experience in a threat intelligence, fraud analytics, risk analysis, or a similar investigative role that goes beyond transactional review.
• Strong analytical and investigative mindset with a natural curiosity for uncovering the "why" behind the data and a passion for solving complex problems.
• Proficiency with SQL for complex data querying and analysis is essential.
• Excellent written communication skills, with the ability to synthesize complex information into clear, concise, and actionable intelligence reports.
• High attention to detail and the ability to connect disparate pieces of information to see the bigger picture.
• Self-motivated and able to manage multiple research projects and priorities in a dynamic environment.
• Familiarity with the fraud ecosystem, including common TTPs for account takeover, card-not-present fraud, and identity theft.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a strong plus.
• Experience in fintech, payments, travel, or e-commerce environments is a plus.
• Exposure to programming languages like Python or R for data analysis is a plus

How to Apply

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Disclaimer:

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