Vanguard’s Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the team’s areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
Responsibilities:
Research on new and innovative techniques to advance Artificial Intelligence research supporting Vanguard strategic business goals.
Contribute to advanced AI research that would bring transformative changes to Vanguard business. Publish findings to AI/ML conferences including NeurIPS, ICML, ICLR, EMNLP, ACL, AAAI etc.
Build industry-leading algorithms for LLM finetuning paradigms, Autonomous Agents, Knowledge Graph, Generative AI, Responsible AI and their applications in financial domains to significantly improve our Vanguard client experiences.
Performs deep-depth diagnostic, predictive and prescriptive analysis to support data-based business decision-making. Creates alternative model approaches to assess the design of complex models and advance future capabilities.
Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
Create business values through productization and deployment of research outcomes.
Engages with internal stakeholders to understand and explore business processes to develop hypotheses. Brings structure to requests and translates requirements into an analytical approach.
Collaborate with various business and operation units to identify business opportunities and design innovative solutions to optimize processes and promote informed decision-making.
Qualification:
Master’s degree in a relevant field of study such as Computer Science, Cognitive Science, Mathematics, Statistics, Physics, Electrical & Computer Engineering.
At least 5+ years of experience in AI/ML research in industry or academic setting.
Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, SHAP, LLM and GenAI etc.
Strong software engineering capabilities and hands-on experience with various machine learning and deep learning frameworks including numpy, scikit-learn, keras, PyTorch and Tensorflow
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
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.
