Application Security, Analyst

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.
• Utilizes established prompts workflows and review methodologies to support AI-assisted code review activities.
• Reviews and validates vulnerability findings identified through automated and AI-assisted analysis.
• Produces clear technical reports and risk-based recommendations.
• Works with development teams to communicate findings and support remediation efforts.
• Collaborates with penetration testers threat modelers and application security teams.
• Supports team processes methodologies and automation initiatives.
  

Required Qualifications

• Minimum of 3 years of related work experience in application security secure code review or software engineering with a security focus.
• Understanding of secure coding principles application security vulnerabilities (OWASP Top 10 and common application vulnerabilities) and secure software development practices.
• Familiarity with modern software architectures APIs cloud-native applications and CI/CD pipelines.
• Familiarity with Java C# Python JavaScript/TypeScript Go or similar languages.
• Familiarity with SAST tools such as Checkmarx Fortify Veracode Semgrep or SonarQube as well as familiarity with secure SDLC and DevSecOps practices
• Familiarity with generative AI or AI-assisted developer/security tools used in software development code review or security testing activities.
• Ability to communicate security findings and remediation guidance to developers and technical teams.
• Undergraduate degree in a related field or the equivalent combination of training and experience.

Preferred Qualifications

• Experience creating prompts workflows agents or automations
• Familiarity with LLM security risks prompt injection insecure code generation model misuse and AI application attack vectors.
• Familiarity with applications that utilize machine learning generative AI agentic AI or AI-enabled business processes.

Special Factors

Sponsorship

About Vanguard

At Vanguard we dont just have a missionwere 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.