Priyambada Jain, MS, is a Senior Data Scientist and Vice President in AI Labs at BlackRock. She leads initiatives focused on building generative AI-based investment agents and enterprise grade AI systems for financial decision support. Her work sits at the intersection of large language models, agentic AI architectures, structured data reasoning, natural language processing, and applied machine learning for high-precision financial environments.

Priyambada specializes in designing AI systems that combine foundation models, smaller task-specific models, retrieval based architectures, quantitative methods, and human-in-the-loop workflows. Her current focus includes improving how AI systems process complex financial datasets such as tables, time-series signals, and domain-specific knowledge sources, with an emphasis on reliability, interpretability, evaluation rigor, and production readiness. She is particularly interested in how financial institutions can move beyond generic AI applications toward controlled, domain-aware systems that reduce model risk and support responsible decision making.

Priyambada holds an MS in Applied Data Science from the University of Southern California. Her research background includes work at USC’s Information Sciences Institute, where she applied natural language processing and knowledge graph techniques to entity extraction and data-driven analytics. Her research has appeared in peer-reviewed venues including AAAI and IEEE Transactions on Emerging Topics in Computing. She also contributes to the broader AI community through invited talks, conference participation, and initiatives focused on building measurable, responsible AI products.