Director/VP, AI Research — Private Assets R&D
MSCI Inc · New York, NY, US
About this role
## Director/VP, AI Research — Private Assets R&D ### About the role MSCI’s Private Assets R&D group develops the methodologies, models, and indexes underpinning MSCI’s offerings across **private equity, private credit, and private real assets**. You’ll join a senior research team building **AI-native, 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 research capabilities across the group—translating 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**, leveraging 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 to accelerate research-to-product delivery - 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 - Degree in **Computer Science, Computational Science, Statistics, Mathematics**, or a related quantitative field - **5+ years** of experience in applied **AI/ML research** or quantitative research, with a track record of building and deploying AI/ML tools/applications in production - Deep expertise in **Python** and modern ML frameworks (ideally also **R**) - Hands-on experience with **large language models**, **retrieval-augmented generation**, and/or **deep learning** - Ability to own a research agenda end-to-end (hypothesis → model development → validation → client-ready delivery) - Strong communication skills to present complex methodologies to senior stakeholders and institutional clients ### Preferred qualifications - Domain knowledge in **private markets**, **asset management**, or **institutional investment analytics** - Experience with **unstructured data** (NLP, document parsing, web extraction) applied 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 location) - Flexible working arrangements, advanced technology, and collaborative workspaces - Learning and development opportunities (e.g., Learning@MSCI, AI Learning Center, LinkedIn Learning Pro) - Inclusive culture with Employee Resource Groups *MSCI is an equal opportunity employer. Recruitment agencies: MSCI does not accept unsolicited CVs/Resumes. For reasonable accommodations, contact Disability.Assistance@msci.com.*
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