Application Security, Analyst

Vanguard; Dallas (TX); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Vanguard seeks a Secure Code Reviewer to join the Threat Modeling & Validation team. The role analyzes source code using manual and AI-assisted methods to identify vulnerabilities and insecure practices, then guides remediation with developers.

You'll validate findings, produce technical reports, and collaborate with security and development teams to strengthen our SDLC in a hybrid work setup.

Qualifications

• Minimum 3 years in application security, secure code review, or security-focused software engineering.
• Knowledge of secure coding practices and common vulnerabilities (OWASP Top 10).
• Familiarity with modern architectures, APIs, cloud-native apps, and CI/CD.
• Experience with Java, C#, Python, JavaScript/TypeScript, Go or similar.
• Experience with SAST tools such as Checkmarx, Fortify, Veracode, Semgrep, or SonarQube.
• Understanding of secure SDLC and DevSecOps.

Responsibilities

• Performs manual and AI-assisted secure code reviews across modern application stacks.
• Identifies vulnerabilities, logic flaws, and insecure coding practices.
• Reviews and validates findings from automated and AI-assisted analysis.
• Produces clear technical reports and risk-based remediation recommendations.
• Collaborates with development teams to communicate findings and support remediation.
• Works with penetration testers, threat modelers, and security teams.
• Supports team processes, methodologies, and automation initiatives.

Skills

Application security

Secure code review

Software engineering

OWASP Top 10

CI/CD pipelines

SAST tools

AI-assisted tools

Communication skills

Education

Undergraduate degree or equivalent

Tools

Checkmarx

Fortify

Veracode

Semgrep

SonarQube

Job description

We are seeking a Secure Code Reviewer to join the Threat Modeling & Validation team. This role is responsible for performing secure code reviews of internally developed applications and services, identifying security vulnerabilities, validating findings, and supporting developers with remediation recommendations. You'll combine manual review techniques with AI analysis to help identify vulnerabilities early in the software development lifecycle.

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

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.