Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
Your Challenge:
As a Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist, you will work with a highly innovative and vibrant team of Data Scientists, machine learning engineers, cloud engineers, and data engineers in developing the next generation AI/ML enabled financial fraud and financial crimes prevention solutions for Vanguard. You will apply your analytics, artificial intelligence, and machine learning knowledge to create foundations for the next generation of fraud and financial crimes fighting tools for our business partners. This work will transform how financial fraud fighting program is structured. With great freedom to innovate, you will play a key role in world-class research that will drive the future of Vanguard's artificial intelligence and machine learning. You will make a difference by leading and innovating new AI based systems and services that power our fraud and financial crimes business units. You will team up with business stakeholders to prioritize innovation ideas and work with other data scientists and engineers to develop and deliver breakthrough solutions.
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You will be challenged to be influential and make a positive difference on a global scale, working on a team that is focused on AI/ML and model product development. Strong communication skills are essential to deliver your message globally across various stakeholders/teams with diverse backgrounds and focus areas spanning research, development, engineering, business, and management. You will be working in a very agile, dynamic environment leading/supporting ongoing activities while starting new ones. Therefore, success in this role requires excellent multitasking and time management skills. We look to you to surprise us in building breakthrough AI-enabled systems leveraging modern AI techniques to create value from the data collected and generated by our base systems. These AI enabled systems and services will allow us to provide highly capable systems to achieve business objectives and stay ahead of the bad actors.
You will apply your advanced data analytics, artificial intelligence/machine learning, Gen-AI, and Graph-ML knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative propositions, contribute to intellectual property, and build and pilot first-of-its-kind model products.
Core Responsibilities
- Lead AIML (including GenAI and Graph-ML) solutions development, prioritizing areas for exploration and improvement, and reviewing in-development models for quality as they are being trained.
- Prioritize AI features, models, and controls, engaging with product leaders and serving as AIML subject matter expert to drive tangible business outcomes
- Design and manage the model quality process, including both automated pipelines and manual review.
- Evaluate new technologies including vendor solutions to drive best practices in incorporating third-party technologies in a responsible manner
- Industry and Academic Awareness: Stay up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our AIML strategy.
- Business partner alignment: Work closely with business partners, external partners, and other cross functional teams to align on AIML requirements and show sense of urgency in delivering insights.
- Technical Implementation: Translate research findings into practical solutions, exploring novel techniques, algorithms, and approaches that can be applied to real-world challenges. developing and optimizing AIML models and systems for real-world applications.
- Effective Communication: Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders, fostering a culture of knowledge sharing and learning.
Qualifications
- MS/Ph.D. in Computer Science, Machine Learning, Operations Research, or a related field
- 3+ years of NLP or Graph-ML implementation experience in the industry including experience building, scaling, and optimizing training and inferencing APIs for neural networks
- 5+ years of coding experience in languages such as Python, PySpark,
- Strong exposure to open source/commercial LLM's through technologies such as Hugging Face, OpenAI, etc..
- Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Experience working in cross-functional teams and a track record of balancing technical decisions with business objectives.
- Client facing/consulting experience
- Experience in IT
- Contributions to AI/ML community through publications, open source contributions, articles, etc..
Sponsorship
Vanguard is not offering visa sponsorship for this position.
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 get so much more in return. We invest with purpose - and that's how we've become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.
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 Vanguard's 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.