Threat Researcher

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SecurityScorecard

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Cybersecurity • Enterprise

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• Reverse Engineering: Perform static and dynamic analysis of malicious binaries to understand their behavior and intent. • Detection Engineering: Develop and maintain high-fidelity detection signatures (YARA, Snort, Sigma) to protect customers. • Data Mining: Query massive datasets (using SQL, Python, or Splunk) to identify anomalies and map out adversary infrastructure. • AI and LLM Automation: Design and leverage AI and LLM automations to support your analysis workload. • Technical Reporting: Produce detailed technical whitepapers and internal briefings on original discoveries. • Deep Technical Research: Identify, track, and analyze advanced persistent threats (APTs) and their malicious infrastructure to gain insights into attack vectors, victimology, and scale.

🎯 Requirements

• Education: Bachelor's or Master's in Computer Science, Cybersecurity, or a highly technical equivalent. • Experience: 3–5 years in a hands-on technical research role (SOC Tier 3, Malware Analysis, or Incident Response). • Technical Skills: Proficiency in Python, Go, or C/C++; experience with disassemblers such as IDA Pro or Ghidra. • Mindset: A hacker's curiosity — the ability to look at a data point and see the hidden pattern. • Bonus: Experience with Splunk, Kinesis, or large-scale data processing.

🏖️ Benefits

• Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. • Employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.