Executive Director, AI Research — Private Assets R&D
MSCI Inc · New York, NY, US
About this role
## Your Team Responsibilities MSCI’s Private Assets R&D group develops the methodologies, models, and indexes that underpin MSCI’s offerings across **private equity, private credit, and private real assets**. Using data assets from **Burgiss, IPD, and RCA**, the team serves leading institutional investors—**pension funds, sovereign wealth funds, endowments, and asset managers**. You’ll join a senior research team focused on delivering **institutional-grade analytics** for private markets. As **Executive Director, AI Research**, you will report to the **Managing Director, Head of Private Assets R&D** and lead the build-out of **AI-native research capabilities** across the group. You will collaborate with researchers, product leaders across private equity/private credit/real assets, and **MSCI technology and data engineering teams** to translate AI research advances into **scalable client solutions**. --- ## Key Responsibilities - Define and drive the **AI research agenda** for Private Assets R&D, identifying where AI creates **durable competitive advantage** in private markets analytics - Develop **AI-driven approaches** to evaluated pricing and comparable selection using **unstructured text**, financial filings, and **embedding-based similarity models** - Extend **nowcasting** and **cash flow forecasting** capabilities using modern ML methods (including **LLM-based models**), with a focus on **explainability** for institutional clients - Design and deploy **agentic AI workflows and prototypes**, accelerating the path from research concept to **client-facing product** - Automate high-value recurring research tasks (e.g., **market commentary generation** and **model parameter re-estimation**) - Represent **Private Assets R&D** in client engagements and through **published research** --- ## Skills & Experience - **Advanced degree** (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, with a 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, validation, and client-ready delivery** - Strong communication skills; able to present complex methodological concepts to senior stakeholders and institutional clients ### Preferred - Domain knowledge in **private markets**, **asset management**, or **institutional investment analytics** - Experience applying **unstructured data** (NLP, document parsing, web extraction) to financial problems - Familiarity with **agentic AI frameworks** and rapid prototyping tools --- ## About MSCI — What We Offer - **Salary range:** **$246,000 – $320,000 / year** (plus eligible annual bonus) - Transparent compensation and comprehensive benefits tailored to your location - Flexible working arrangements, advanced technology, and collaborative workspaces - A culture of high performance and innovation - Global network of talented colleagues - Learning opportunities (including **Learning@MSCI** and AI learning resources) - Multi-directional career paths and internal mobility - Inclusion and belonging supported through Employee Resource Groups MSCI is an equal opportunity employer an
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