Senior Adaptive Threat Simulation Red Teamer

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As an experienced professional, performs research, analysis, and testing of computer/network vulnerabilities via vulnerability assessments, penetration testing, red team operations, and/or social engineering across a wide variety of platforms and systems. Clearly outlines and documents the risk and business impact of test findings in reports. Assists Lines of Business with questions regarding vulnerabilities and remediation efforts.

The successful candidate will be a team-oriented individual with excellent communication skills and the ability to explain the "so what?" of a vulnerability or security issue to a non-technical audience. The individual will be expected to work with other members of Global Information Security, technical stakeholders, risk partners, and executive leadership to ensure that risk is identified, communicated, and remediated across a variety of Lines of Business. They should also have working knowledge of artificial intelligence (AI) and large language model (LLM) technologies, associated security risks, and emerging AI-enabled attack techniques. This includes an understanding of how threat actors may leverage AI to support reconnaissance, social engineering, vulnerability research, payload development, and other offensive activities, as well as security risks introduced by AI-enabled applications and systems.

Typically, 7–10 years of IT experience, with 5 years focused on offensive security testing.

• Lead AI security testing engagements, including defining scope, test approach, and safe testing guardrails for emerging AI technologies.

• Experience planning and executing covert, objective-based red team operations that emulate advanced threat actors while avoiding detection.

• Must have an understanding of AI/LLM security concepts and attack techniques, including risks such as prompt injection, insecure tool or plugin usage, sensitive information disclosure, excessive agency, model/system manipulation, and abuse of AI-enabled applications.

• Must understand how generative AI may be leveraged by threat actors and red teams to augment reconnaissance, social engineering, vulnerability research, code development, and other phases of an offensive operation.

• Ability to evaluate AI-enabled systems from an adversarial perspective and identify potential attack paths, control weaknesses, and opportunities for abuse.

• Must have experience and be highly proficient with common tools associated with red teaming and penetration testing (Metasploit, Burp Suite, Cobalt Strike, etc.).

• Must have experience developing implants and techniques for evading common security controls and detection technologies.

• Must have a solid understanding of voice and data networks, major operating systems, Active Directory, and their associated peripherals, along with MITRE ATT&CK tactics, techniques, and procedures (TTPs).

• Must demonstrate knowledge of tactics, techniques, and procedures associated with malicious insider activity, organized crime/fraud groups, and both state- and non-state-sponsored threat actors.

• Must be able to critically examine an organization and its systems from the perspective of a threat actor and articulate risk in clear, precise terms.

• Must be able to work both independently and effectively as part of a team with individuals from a variety of technical and professional backgrounds.

• Ability to effectively code in a scripting or programming language (Python, C#, PowerShell, C, etc.).

• Previous experience working in the financial industry is a plus.

• Experience performing security assessments of free and open-source software (FOSS), including identifying vulnerabilities and supply chain risk.

• Desirable certifications: OSCP, GPEN, OSCE.