Job description

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g., assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions. Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource – by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core. Offensive Security Analyst - AI Specialist Design and conduct Red Team operations focused on AI/ML systems, including adversarial input testing, model inversion, poisoning, and evasion attacks. Emulate threat actors targeting AI infrastructure (e.g., model hosting platforms, training data lakes, inference APIs). Develop custom tooling and payloads for AI-specific attack scenarios, including adversarial examples and synthetic data manipulation. Collaborate with data scientists and ML engineers to assess model robustness, fairness, and explainability under adversarial conditions. Lead Purple Team exercises to validate detection and response capabilities for AI-related threats. Produce detailed reports and executive briefings outlining risks, attack paths, and remediation strategies. Contribute to threat modeling and detection engineering for AI systems. Stay current on emerging AI threats, adversarial ML research, and regulatory implications. Mentor junior team members and foster a culture of offensive innovation. What it takes: Proven experience in Red Team operations, adversary emulation, or advanced penetration testing. Deep understanding of AI/ML concepts including supervised/unsupervised learning, NLP, computer vision, and reinforcement learning. Experience with adversarial ML techniques (e.g., FGSM, PGD, DeepFool, model extraction). Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services. Knowledge of MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF. Experience with offensive tooling and scripting for automation and exploit development. Excellent communication skills for technical and executive audiences. 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. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

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