Executive Director, AI Research, Private Assets R&D

The Company is seeking an Executive Director for AI Research in Private Assets R&D. The successful candidate will be at the forefront of developing AI-native research capabilities, with a focus on bringing institutional-grade analytics to private markets. This role involves defining and driving the AI research agenda, developing AI-driven approaches for evaluated pricing and comparable selection, and extending nowcasting and cash flow forecasting capabilities using modern ML methods. The Executive Director will also be responsible for designing and deploying agentic AI workflows, automating high-value research tasks, and representing the R&D group in client engagements and published research. Applicants must have an advanced degree in a quantitative field, at least 10 years' of experience in applied AI/ML research or quantitative research, and a proven track record of building and deploying models in production. Deep expertise in Python and modern ML frameworks is essential, with hands-on experience in large language models, retrieval-augmented generation, and/or deep learning. The role requires the ability to own a research agenda end-to-end and strong communication skills to present complex concepts to senior stakeholders and institutional clients. Preferred qualifications include domain knowledge in private markets, asset management, or institutional investment analytics, experience with unstructured data applied to financial problems, and familiarity with agentic AI frameworks and rapid prototyping tools.