Director/VP, AI Research, Private Assets R&D

MSCI

Confirmed live 3 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$246,000–$320,000 / yr
Posted
7 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $236k
This role $283k
$165k $337k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $195,000–$278,000 — the blue band above. At the midpoint, this role pays about $283k versus about $236k for comparable roles.

Based on 240 similar postings.

Employer

About MSCI

MSCI is a US-based provider of investment decision support tools, including equity indexes, portfolio risk and performance analytics, and ESG research used by institutional investors worldwide.

MSCI currently has 17 open roles on FindRole.

Listed pay typically runs $128,000–$205,000 across 17 roles with salary data.

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At a glance

TL;DR · Director/VP, AI Research, Private Assets R&D

As Executive Director, AI Research, you will join the Private Assets R&D group to build out AI-native research capabilities for private equity, private credit, and real assets. You will define the AI research agenda, developing approaches for evaluated pricing, comparable selection, and cash flow forecasting. Your daily work involves designing agentic AI workflows, automating market commentary generation, and translating research into scalable client solutions. You will utilize Python, R, and modern ML frameworks to work with large language models, retrieval-augmented generation, and deep learning. The role requires applying these technologies to unstructured text, financial filings, and embedding-based similarity models. You will solve complex problems in private markets analytics, providing institutional-grade tools for pension funds and asset managers by bridging the gap between advanced AI research and production-ready financial products.

What you'll do

  • Define and drive the AI research agenda to create competitive advantages in private markets analytics.
  • Develop AI-driven approaches for 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 such as 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

  • 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.
  • Track record of building and deploying AI/ML powered tools or applications in production.
  • Deep expertise in Python and modern ML frameworks (preferred: R).
  • 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).

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