About the role
Lead research and development of agentic AI systems for financial services, focusing on LLMs and foundation models to solve real-world challenges.
ResearchOnsite
Key Responsibilities
- Lead the design and implementation of agentic AI systems for financial services applications
- Investigate and advance methods to improve reasoning accuracy, controllability, explainability, and safety in agent-based architectures
- Publish original research in top-tier AI and machine learning venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, AAAI)
- Collaborate with cross-functional internal teams and industry partners to align agentic AI solutions with real-world financial constraints and requirements
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related field
- Research and hands-on experience with Agentic AI
- Deep expertise in large language models (LLMs) and foundation models
- Strong publication record in top-tier AI/ML conferences or high-impact journals
- Background in economics, finance, or financial systems (e.g., banking, risk, compliance)
- Solid understanding of financial services domains, data, or regulatory environments