Vanguard is not offering visa sponsorship for this position.
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
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.
Are you passionate about Analytics and AI/ML? Are you interested in defining architectural solutions leveraging cloud-based technologies and New Ways of Working? This is an exciting opportunity for you to be part of Enterprise Security and Fraud journey at Vanguard in driving cyber security and fraud outcomes for our clients.
As the
Technical Lead
Enterprise Security and Fraud
Technical Lead AI/ML Specialist
- Collaborates with internal stakeholders to gather and analyze security and fraud detection requirements help to defines the architectural blueprint for Generative AI, LLMOps, and MLOps solutions to address these challenges.
- Leads the development and deployment strategy for scalable and secure AI platforms, applications, and systems tailored for security and fraud prevention across diverse cloud environments and computing platforms.
- Oversees the creation and maintenance of technical and configuration documentation for a broad audience, including internal teams, partners, and customers, ensuring clarity and accessibility of information related to security and fraud detection AI solutions.
- Builds and maintains strong relationships with key stakeholders, becoming a trusted advisor while continuously enhancing knowledge in AI, machine learning, security, and fraud detection technologies.
- Integrates and customizes advanced machine learning algorithms and technologies, such as anomaly detection models, to strengthen Vanguard's security and fraud detection capabilities. Utilizes statistical analysis and machine learning techniques to identify and evaluate opportunities for enhancing security measures and fraud prevention strategies.
- Designs and oversees A/B testing for statistical models and machine learning algorithms, ensuring the continuous optimization and effectiveness of security and fraud detection systems.
- Conducts rigorous code reviews and oversees the design of algorithms and models, performing experiments to validate the functionality and performance of security and fraud detection AI solutions.
- Engages in special projects focused on advancing Vanguard's security and fraud detection capabilities, exploring new technologies and methodologies in the field of AI and machine learning.
- Assumes additional responsibilities as needed, contributing to the team's success and the evolution of Vanguard's security and fraud prevention efforts.
What it takes
- Experience with Generative AI
- Skilled in designing and refining conversational AI prompts to optimize performance, accuracy, and user engagement.
- Experienced in iterative testing and analysis of AI-generated content to ensure alignment with project goals and ethical standards.
- 3+ years of experience in building scalable, production-level Machine Learning systems, covering aspects from requirements analysis, design, planning, implementation, testing, to deployment.
- 5+ years of experience in writing production software in Python and deploying production workloads using AWS cloud managed services.
- 2+ years of experience with DevOps practices, containerization, and orchestration tools, including expertise in CI/CD pipelines, Docker, and Kubernetes
- 2+ years of experience in writing data processing pipelines using SQL, Spark, and Kafka
- Proficient in Machine Learning Operations (MLOps) processes and associated technical concerns.
- Holds a master's degree.
- AWS Certified Solutions Architect and Machine Learning Engineer certifications
Special Factors
Sponsorship
About Vanguard
We are Vanguard. Together, we're changing the way the world invests.
For us, investing doesn't just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you
can
We want to make success accessible to everyone. This is our opportunity. Let's make it count.
Inclusion Statement
Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement Do the right thing.
We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguards core purpose.
Our core purpose To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
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.