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LPL Financial Holdings

Independent broker-dealer platform for financial advisors

Assistant Vice President Penetration Tester - LLM

Offensive Security & TestingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience conducting application, API, and network-based penetration-testing engagements.
  • At least 5 years of experience troubleshooting tools, manually finding issues in code, and rewriting code to remove bugs.
  • At least 3 years of experience leading penetration-testing engagements end to end.
  • At least 2 years of experience penetration testing AI, LLM, or GenAI applications.
  • At least 2 years of experience using AI models such as Claude to rapidly develop tooling.
  • Advanced knowledge of security assessment tools and frameworks, including Burp Suite, Promptfoo, HexStrike, Claude, CAI, Garak, Pyrit, Kali Linux, Nessus, Metasploit, Cobalt Strike, MITRE ATLAS, and OWASP Top 10 for LLM.
  • At least one industry certification such as OSCP, OSAI, OSCE, OSWE, GPEN, GCIH, GWAPT, or GXPN.
  • Strong organizational skills.
  • A bachelor's degree or equivalent in Information Security, Engineering, or Computer Science is preferred, not required.
  • Advanced understanding of OWASP, the MITRE ATT&CK framework, ATLAS, and the software development lifecycle.
  • Advanced knowledge and experience penetration testing AI/LLM systems, including MCP servers, models, and chatbots.
  • Advanced understanding of tool development using AI such as Claude Code.
  • Advanced knowledge of programming languages such as .NET, JavaScript, Python, Java, PowerShell, Perl, Ruby, Bash, C#, or Golang.
  • Advanced knowledge of Linux, Mac, and Windows operating systems; AWS and Azure cloud environments; and cloud-native resources such as containers, Kubernetes, microservices, and serverless functions.
  • Broad and deep knowledge of security for LLM systems, including MCP servers, models, tooling, and infrastructure.
  • Applicants must have valid U.S. work authorization that does not require employer sponsorship.

Responsibilities

  • Partner with product stakeholders to drive end-to-end penetration-testing activities, including working with Security Architects during software development lifecycle processes for LLM and AI to recommend and identify application security weaknesses before production deployment.
  • Conduct tactical security penetration-test assessments of company applications, including LLMs, agentic-built applications, and supporting APIs, against OWASP Top 10 threats; work with the Application Security team to provide feedback and recommendations for increased automation, including AI-assisted tooling.
  • Identify ways to circumvent security guardrails, find vulnerabilities, and develop effective AI mitigation strategies.
  • Stay informed about emerging and fast-changing tactics, techniques, and procedures, zero-days, and remediation strategies for agentic-developed applications, systems, and supporting infrastructure.
  • Develop or modify custom tooling to address new needs using models such as Claude.
  • Document and formally report testing initiatives, findings, justified risk ratings, remediation recommendations, and validation results.
  • Partner with technology teams to present security testing results, explain threats, and provide remediation guidance to IT stakeholders.
  • Assess internal and external networks, infrastructure, cloud environments, and internally developed and commercial products.
  • Develop and maintain tools or scripts used in agentic penetration testing.
  • Lead assigned AI/LLM penetration-testing initiatives and communicate status to leadership.
  • Oversee communication and reporting of findings identified during testing and perform retesting to validate closure of previously identified findings.
  • Develop tooling for agentic-assisted LLM penetration testing.

Desired Qualifications

  • Excellent communication skills and ability to collaborate with internal and external stakeholders to identify, advise on, and implement solutions.
  • Advanced knowledge and experience penetration testing AI/LLM systems, including MCP servers, models, and chatbots.
  • Advanced understanding of tool development using AI such as Claude Code.
  • Advanced knowledge of programming languages such as .NET, JavaScript, Python, Java, PowerShell, Perl, Ruby, Bash, C#, or Golang.
  • Advanced knowledge of Linux, Mac, and Windows operating systems; AWS and Azure cloud environments; and cloud-native resources such as containers, Kubernetes, microservices, and serverless functions.
  • Broad and deep knowledge of security for LLM systems, including MCP servers, models, tooling, and infrastructure.

About the Company

LPL Financial Holdings

Independent broker-dealer platform for financial advisors

LPL Financial runs the largest independent broker-dealer network in the United States, providing a platform of services and support to financial advisors and institutions. It helps advisors manage client wealth by offering technology, research, clearing and compliance services, and practice management programs. Advisors access a flexible, non-proprietary environment where they can tailor financial recommendations for clients, with revenue coming from fees for services, securities commissions, and asset-based fees. The company supports more than 28,000 financial advisors and oversees over a trillion dollars in advisory and brokerage assets, distinguishing itself through its breadth of back-office capabilities, scalable platform, and emphasis on independence for its advisors. Its goal is to enable independent financial advisors to grow their businesses and deliver personalized investment solutions to their clients.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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