Application Security, Senior Analyst

Vanguard; Dallas (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Vanguard seeks a (Senior) Secure Code Reviewer to join the Threat Modeling & Validation team. You will perform secure code reviews of internally developed applications, identify vulnerabilities, validate findings, and provide developers with practical remediation guidance.

The role blends manual expertise with AI analysis to catch issues before release. The ideal candidate combines application security and software development experience, with hands-on skills in AI tooling and modern programming

Qualifications

• Minimum 5 years in application security, secure code review, or security-focused software engineering.
• Strong understanding of OWASP Top 10 and secure SDLC practices.
• Experience with modern APIs, cloud-native apps, and CI/CD pipelines.

Responsibilities

• Performs manual and AI-assisted secure code reviews across modern application stacks.
• Develops prompts, workflows, and review methodologies for AI-assisted reviews.
• Validates findings and reduces false positives.
• Produces clear technical reports and risk-based recommendations.
• Partners with development teams to explain findings and provide remediation guidance.
• Collaborates with penetration testers, threat modelers, and security teams.
• Contributes to automation initiatives and team processes.

Skills

Secure code review

Application security

SAST tools

AI tooling

Java

C#

Python

JavaScript/TypeScript

Go

DevSecOps

Communication with developers

Education

Undergraduate degree in a related field

Tools

Checkmarx

Fortify

Veracode

Semgrep

SonarQube

Job description

We are seeking a (Senior) 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 providing developers with practical remediation guidance. You'll combine manual expertise with AI analysis to catch vulnerabilities before they ship. The ideal candidate combines application security expertise with hands‑on software development experience and a demonstrated ability to leverage AI tooling.

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.

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.