This role pays more than
74%
of similar roles. Most pay
$209,797–$286,000
— the shaded band above.
At the midpoint, this role pays about
$283k
versus about
$248k
for comparable roles.
Based on 239 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
14 open roles
on FindRole.
Listed pay typically runs
$195,000–$250,000
across 14 roles with salary data.
Executive Director, AI Research — Private Assets R&D joins the Private Assets R&D team to build out AI-native research capabilities for private equity, private credit, and real assets. You will define the AI research agenda, develop AI-driven approaches for pricing and comparable selection using unstructured text and embedding-based models, and enhance nowcasting and cash flow forecasting through LLM-based methods with a focus on explainability. Your daily work involves designing agentic AI workflows, automating high-value tasks like market commentary generation, and collaborating with product and engineering teams to deliver scalable solutions. The role requires an advanced degree in a quantitative field and over ten years of experience in applied AI/ML research. Key technical requirements include expertise in Python, modern ML frameworks, large language models, retrieval-augmented generation, deep learning, and processing unstructured data for financial problems.
AI
Machine Learning
Reinforcement Learning
Model Training
AI-for-systems
hardware–software stack
Compiler
Inference
Research Prototyping
Training Pipelines
Performance Optimization
Reinforcement Learning
Large-scale Model Training
GPU Programming
PPA Optimization
AI Systems
Confidential Compute
Compiler
Machine Learning
Training Pipelines
Data Management
Data Architecture
Analytics
AI
Machine Learning
Master Data Management
Data Governance
Cloud Platforms
Business Intelligence
Data Modeling
Automation
GxP
NIST AI RMF
ISO 42001
Data Quality