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Senior Applied Threat Intelligence Analysts

Lead with AI to understand the threat landscape and the latest attacker tradecraft. Track threat actors, including financially motivated threat actors; their infrastructure, their targets, and their shifting techniques, tactics, a...

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Microsoft Redmond, WA,US, US Source published Jul 30, 2026 Verified 3 days ago
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Senior Applied Threat Intelligence Analysts opportunity at Microsoft
DeadlineTue Jan 26 6:00 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Lead with AI to understand the threat landscape and the latest attacker tradecraft. Track threat actors, including financially motivated threat actors; their infrastructure, their targets, and their shifting techniques, tactics, and procedures. Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community. 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 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerabil

Full job description

Full Job Description

Lead with AI to understand the threat landscape and the latest attacker tradecraft. Track threat actors, including financially motivated threat actors; their infrastructure, their targets, and their shifting techniques, tactics, and procedures. Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community. 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 4+ 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 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ 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 8+ 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 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection. OR equivalent experience. 3+ years of experience in cyber threat intelligence, threat hunting, incident response, or a closely related security discipline. Attribution experience creating threat groups, assessing connections between established threat groups, and communicating attribution assessments to internal stakeholders and customers in a timely manner. Demonstrated experience producing finished threat intelligence reporting for technical and/or executive audiences. Understanding of adversary tradecraft, the cyber kill chain, and frameworks such as MITRE ATT&CK, the Diamond Model, and structured analytic techniques. Written and verbal communication skills, with a portfolio of public or customer-facing intelligence writing. Experience tracking and defending against financially motivated threat actors. Experience with endpoint, cloud, network, and identity-based attacks and datasets. Experience with AI tools and large language models, building agents and skills for information security applications and pipelines. Comprehensive OS security/internals knowledge. Understanding of network protocols and analytical experience with network infrastructure data & telemetry. Reverse-engineering with static and behavioral binary analysis experience. Functional understanding of common threat analysis models such as the Diamond Model, Cyber Kill Chain, and MITRE ATT&CK. Programming or scripting background (Python, PowerShell, C#, C++, etc.).

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