ApplySarthi

Staff Threat Intelligence Researcher

Arcticwolf

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

889 open intelligence roles across 199 companies are on ApplySarthi right now, most of them in Bengaluru (46), Hyderabad (34), Chennai (7).

What intelligence roles keep asking for: Python (37%), SQL (31%), AWS (21%), Machine learning (17%), Stakeholder management (16%), Tableau (16%) — counted across their open postings here.

Python jobs · SIEM jobs · SQL jobs

Arcticwolf has 118 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for intelligence roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Arcticwolf.

Questions you are likely to be asked

  1. Why do you want to join Arcticwolf?
  2. What is your experience with Python? Tell me one thing you learned the hard way.
  3. Where do you want to be in three years?
  4. What is a weakness you are working on, and how?
  5. Tell me about yourself, and why this role is the right next step.

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Staff Threat Intelligence Researcher at Arcticwolf interview free →

#RunwiththePack At Arctic Wolf, we’re on a mission to end cyber risk . We are a global leader in security operations, helping organizations stay resilient against evolving cyber threats through industry-leading security operations, threat intelligence, and a people-first approach to cybersecurity. More than 3,000 Pack members across the world work together every day to protect our customers and empower security teams with new levels of speed, accuracy, and intelligence at scale. What sets us apart is our relentless focus on our customers, innovation at scale, and a collaborative culture where talented people can do meaningful work that truly makes a difference. We’re constantly looking for talented people to join the Pack and help us take our performance to the next level. About the Position: The Staff Threat Intelligence Researcher is an expert individual contributor aligned closely with the Adversary Operations team. This role leads rapid, intelligence-driven investigations into emerging threats, active campaigns, and high-impact adversary activity, using internal managed detection and response (MDR), incident response (IR), endpoint, network, cloud, identity, malware, infrastructure, and open-source data. The researcher connects signals across customer environments, develops defensible campaign and actor assessments, and translates findings into timely hunting guidance, durable detections, incident response actions, customer protections, and authoritative reporting. Success is demonstrated through fast, technically rigorous investigations; discovery of previously unknown or under-scoped activity; and clear operational impact across security operations, incident response, product, and customer-facing teams. Responsibilities Recognized as a technical authority, the Staff Threat Intelligence Researcher independently leads complex adversary investigations and helps shape how the organization identifies, validates, tracks, and responds to emerging threats across a large, multi-customer telemetry environment. Lead rapid-response research into emerging threats, newly disclosed vulnerabilities, active exploitation, malware campaigns, ransomware operations, and nation-state or cybercriminal activity that may affect customers. Proactively hunt across internal MDR and IR telemetry to identify active campaigns, previously unknown infrastructure, malware, intrusion patterns, and common adversary behaviors across customer environments. Correlate endpoint, network, cloud, identity, email, vulnerability, malware, infrastructure, case, and open-source data to develop and test campaign hypotheses. Scope potentially widespread activity by determining affected customers, observed behaviors, intrusion timelines, infrastructure overlap, and confidence in campaign or actor clustering. Produce time-sensitive intelligence assessments, threat advisories, hunting packages, campaign reports, and executive or customer briefings during high-impact security events. Develop and operationalize YARA, Sigma, behavioral analytics, search logic, indicators, and detection hypotheses in partnership with detection engineering, threat hunting, and security operations teams. Partner closely with Adversary Response and Incident Response teams during active investigations, providing adversary context, collection requirements, analytical judgments, and follow-on hunting recommendations. Establish and apply rigorous standards for campaign clustering, actor tracking, attribution, analytical confidence, evidence handling, and intelligence validation. Build repeatable research methods, tooling, and automation that reduce the time from initial signal to validated finding and customer protection. Publish high-quality internal and external research and represent the organization in customer briefings, intelligence-sharing communities, and industry forums. Expert Positioning Goal Serve as a recognized authority in adversary research and response by developing repeatable campaign-investigation tradecraft, mentoring other researchers, and producing original research that improves customer protection and industry understanding of active threats. Example Key Results Identified and scoped an active campaign through cross-customer MDR telemetry, enabling rapid customer notification, targeted hunting, and new behavioral detections. Reduced time from emerging-threat signal to validated intelligence package by creating reusable queries, enrichment workflows, and investigation playbooks. Established a defensible campaign-clustering and analytical-confidence approach used consistently in adversary reporting and response decisions. Complexity & Problem Solving Solves highly complex and ambiguous problems involving incomplete telemetry, noisy or deceptive indicators, uncertain attribution, multi-stage intrusions, and activity distributed across customer environments. Forms and tests competing hypotheses, distinguishes shared tooling from coordinated campaigns, assesses confidence and impact, and makes time-sensitive recommendations while identifying evidence gaps and alternative explanations. About You Extensive experience in cyber threat intelligence, adversary research, threat hunting, malware analysis, incident response, or a related discipline, with demonstrated technical leadership as a senior individual contributor. Deep knowledge of nation-state, cybercriminal, ransomware, initial-access, malware, and vulnerability-exploitation ecosystems. Demonstrated experience hunting across large-scale endpoint, network, cloud, identity, email, and security-operations telemetry using SIEM, EDR, data-lake, or similar analysis platforms. Strong ability to use SQL, Python, Kusto Query Language, SPL, or comparable languages to analyze large datasets, automate enrichment, and build reusable research workflows. Experience analyzing host and network telemetry such as process execution, command lines, authentication events, DNS, proxy, firewall, Zeek, Sysmon, auditd, and cloud audit logs. Experience translating intelligence into YARA, Sigma, behavioral detections, hunting strategies, incident response actions, defensive controls, or product improvements. Working knowledge of MITRE ATT&CK, the Diamond Model, intrusion analysis, structured analytic techniques, campaign clustering, attribution, and analytical confidence. Familiarity with malware-analysis and reverse-engineering tools such as Ghidra, IDA Pro, x64dbg, debuggers, sandboxes, and static or dynamic analysis utilities. Proven ability to author publication-quality threat research and communicate technical findings, uncertainty, customer impact, and recommended actions to technical, executive, and customer audiences. Sound judgment when handling sensitive intelligence, customer data, uncertain attribution, and high-impact or fast-moving security incidents. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. Benefits All wolves receive compelling compensation and benefits packages, including : Equity for all employees Flexible time off and paid volunteer days 401(k) contribution and matching Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Security Requirements At Arctic Wolf, protecting our people, customers, and data is fundamental to how we operate. All employees are expected to uphold our commitment to security, privacy, and compliance by following internal information security policies, standards, and controls designed to safeguard the confidentiality, integrity, and availability of business, customer, employee, and other confidential information and to support compliance with applicable legal and regulatory requirements. Depending on the role and where permitted by applicable law, employment may be subject to background verification and additional regulatory, security, or compliance requirements, including obligations related to data protection and export control laws, and authorization requirements where applicable. Base Salary The base salary range for this job family is 86,000 to 240,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package. Your next big opportunity starts here — apply today and help us end cyber risk.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Arcticwolf, not by us.