About this role
Core Responsibilities
• Performs manual and AI-assisted secure code reviews across modern application stacks, analyzing source code to identify vulnerabilities, logic flaws, and insecure coding practices. • Develops and optimizes prompts, workflows, and review methodologies that improve the effectiveness and repeatability of AI-assisted code review activities.
• Validates and refines vulnerability findings, reducing false positives and identifying overlooked risks.
• Produces clear technical reports and risk-based recommendations. • Partners with development teams to explain findings, assess risk, and provide actionable remediation guidance. • Collaborates with penetration testers, threat modelers, and application security teams. • Contributes to team processes, methodologies, and automation initiatives.
Required Qualifications
• Minimum of 5 years of related work experience in application security, secure code review, or software engineering with a security focus. • Strong understanding of secure coding principles, application security vulnerabilities (OWASP Top 10 and common application vulnerabilities), and secure software development practices. • Understanding of modern software architectures, APIs, cloud-native applications, and CI/CD pipelines. • Experience reviewing Java, C#, Python, JavaScript/TypeScript, Go, or similar languages. • Experience using SAST tools such as Checkmarx, Fortify, Veracode, Semgrep, or SonarQube as well as familiarity with secure SDLC and DevSecOps practices • Hands-on experience using generative AI or AI-assisted developer/security tools as part of engineering, code review, security testing, or DevSecOps workflows. • Ability to communicate security findings and remediation guidance to developers and technical leadership • Undergraduate degree in a related field or an equivalent combination of training and experience.
Preferred Qualifications
• Experience creating prompts, workflows, agents, or automations. • Experience leveraging large language models (LLMs) to improve security analysis, code review efficiency, vulnerability triage, or secure development workflows. • Familiarity with LLM security risks, prompt injection, insecure code generation, model misuse, and AI application attack vectors. • Experience reviewing applications that utilize machine learning, generative AI, agentic AI, or AI-enabled business processes. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.