Principal Applied Threat Intelligence Analyst...

As a Principal Applied Threat Intelligence Analyst, you will:

• Author and publish high-impact threat intelligence reports (actor profiles, campaign analyses, trend reports, TTP deep-dives, vulnerability profiles) for both customer-facing and internal audiences.

• Translate complex technical findings into clear, prescriptive guidance for security operations teams, executives, and the broader defender community.

• Partner with product, research, marketing, and communications teams to land intelligence through Microsoft's customer-facing surfaces (Agentic Security, Defender XDR, Sentinel, blogs, briefings).

• Build and refine the pipelines, tooling, and workflows that allow Microsoft to stream insightful cyber threat intelligence to customers machine speed.

• Represent Microsoft Threat Intelligence in customer briefings, industry conferences, and cross-industry working groups.

• Mentor analysts and contribute to tradecraft, analytic standards, and team-wide knowledge sharing.

• 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.

• OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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.

• 10 + years of experience in cyber threat intelligence, threat hunting, incident response, or a closely related security discipline.

• Demonstrated experience producing finished threat intelligence reporting for technical and/or executive audiences.

• Attribution experience creating threat groups, assessing connections between established threat groups, and communicating attribution assessments to internal stakeholders and customers in a timely manner.

• Working experience with Microsoft Sentinel and Microsoft Defender XDR (or directly comparable SIEM/XDR platforms).

• 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 with endpoint, cloud, network, and identity-based attacks and datasets.

• 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.)

#MSSecurity

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