Executive Director, AI Research, Private Assets R&D

What you'll do

• Define and drive the AI research agenda to create competitive advantages in private markets analytics.
• Develop AI-driven approaches for evaluated pricing and comparable selection using unstructured text and embedding-based models.
• Extend nowcasting and cash flow forecasting capabilities using modern ML methods and LLM-based models.
• Design and deploy agentic AI workflows and prototypes to accelerate the transition from research to product.
• Automate high-value recurring research tasks including market commentary generation and model parameter re-estimation.
• Represent the Private Assets R&D group in client engagements and through published research.

What we're looking for

• Master's or PhD in Computer Science, Computational Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of experience in applied AI/ML research or quantitative research.
• Track record of building and deploying models in production.
• Deep expertise in Python and modern ML frameworks.
• Hands-on experience with large language models, retrieval-augmented generation, and/or deep learning.
• Proven ability to own a research agenda end-to-end from hypothesis through model development and client-ready delivery.
• Strong communication skills to present complex methodological concepts to senior stakeholders and institutional clients.
• Domain knowledge in private markets, asset management, or institutional investment analytics (preferred).
• Experience with unstructured data (NLP, document parsing, web extraction) applied to financial problems (preferred).
• Familiarity with agentic AI frameworks and rapid prototyping tools (preferred).