Threat Researcher

SecurityScorecard

About The Position

As a Threat Researcher at SecurityScorecard, you will be responsible for producing original intelligence that feeds the company's platform, drives demand generation, and establishes SSC as a credible voice in cybersecurity research. Your work will be featured in reports, briefings, and data that supports commercial expansion, reaching customers, media, and the broader security community. The role requires extensive experience in tracking adversaries, monitoring underground forums, mapping infrastructure, and generating actionable intelligence, with the ability to articulate complex technical findings to non-technical audiences.

Requirements

3-6 years of hands-on threat intelligence experience at a commercial vendor, financial institution, or intelligence-community organization with commercial output requirements.
Proven written output: you have published research, written reports, or produced briefings that non-technical readers could act on. Work samples are required.
Software engineering baseline: you write Python as a standard part of your research workflow for automation, data collection, API querying, and pipeline building.
Deploy AI and LLM tooling as a daily force multiplier, not a novelty.
Proactive hunter mentality: you identify signals before they surface publicly. You have a process, not just a reactive monitoring habit.
Clear communication and synthesis: you write with precision and brevity.
Customer-facing capability: you can present research at an event, get on a webinar, and hold a room.
Bachelor's degree in Cybersecurity, Computer Science, Journalism, Political Science, or equivalent. Demonstrated output accepted in lieu of formal degree.

Nice To Haves

Background from a pure-play commercial TI vendor: Flashpoint, Recorded Future, Mandiant, CrowdStrike, Palo Alto Unit 42, Proofpoint, ZeroFox, Intel 471, Cybersixgill.
Financial services threat intelligence background: JPMorgan, Citigroup, Goldman Sachs, or equivalent TI teams where output is commercially oriented.
Published research, CVEs, conference presentations (Black Hat, DEF CON, RSA), or a recognized GitHub or blog presence.
Experience with DriftNet, Shodan, VirusTotal Intelligence, MISP, or comparable data platforms.
Detection engineering: YARA, Sigma, or Snort signature development.
Familiarity with large-scale data pipelines or streaming platforms (Kafka, Splunk, or equivalent).
Prior experience producing content that supported marketing, demand generation, or customer-facing commercial goals.

Responsibilities

Produce finished threat intelligence: monthly and quarterly research reports, blog posts, and executive briefings that translate complex technical findings into content that non-technical buyers can act on.
Hunt threats proactively: track adversary TTPs, monitor dark web and underground forums, map infrastructure, and identify signals before they become public.
Deploy AI-assisted workflows: use LLMs and automation tooling to accelerate your research pipeline, improve synthesis quality, and increase output velocity.
Write automation code: build Python scripts and pipelines for data collection, API querying, signal extraction, and detection logic.
Leverage data extraction tools to pull intelligence from SSC's proprietary data platform, producing insights that marketing can self-serve on and that inform customer-facing content.
Present and evangelize: get on webinars, show up at customer events, and explain what the data means to a CISO, an insurance buyer, or a CFO.
Collaborate with marketing team to align research output with content calendar, customer event needs, and demand generation goals.
Contribute to SSC's published research presence: blog posts, reports, and media briefings that build brand and drive inbound pipeline.