Senior Security Researcher

About the role

Investigation support. Providing threat intelligence support to proactive security research and reactive incident response engagements across both internal and customer-facing investigations. Attribution and actor modeling. Ingesting, modeling, attributing, and documenting intelligence collected during engagements. Owning the attribution lane while investigation partners lead forensics and customer response. Emerging threats.

Briefing and delivery. Delivering threat intelligence briefings to external customers and internal stakeholders. Supporting notifications to customers regarding imminent or ongoing attacker activity. Feedback loop.

Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience.

Outstanding technical knowledge of adversary capabilities, infrastructure, and techniques, and the ability to develop new methods to discover and track them. Experience tracking advanced financially motivated or state-sponsored adversaries using the Diamond Model; ability to characterize TTPs, infrastructure, and operational campaigns.

Demonstrated experience producing actionable intelligence that changed the outcome of an investigation or hardened a defended network. Familiarity with host, log, and network forensics, common protocols, and a range of adversary command-and-control methods. Demonstrated experience with log analysis and query languages (KQL/Kusto, SQL, or equivalent) across SIEM, identity, endpoint, or cloud telemetry.

Experience with large-scale cloud, identity, and endpoint telemetry. Experience supporting incident response and familiarity with common IR procedures and tooling. Ability to communicate findings clearly, with appropriate confidence language, to technical and executive audiences.

Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience.

Background in cloud and identity-based intrusions — token theft, OAuth abuse, SaaS-native tradecraft Detection engineering or hunting query development at scale Use of automation, data science, or AI tooling to accelerate triage, clustering, and analysis Experience delivering customer or executive briefings under time pressure during active incidents Working knowledge of malware used in targeted campaigns, including triage of malicious capabilities.