below marketmost similar roles pay hereabove market
This role pays less than
57%
of similar roles. Most pay
$207,225–$270,618
— the blue band above.
At the midpoint, this role pays about
$224k
versus about
$239k
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
16 open roles
on FindRole.
Listed pay typically runs
$126,500–$196,000
across 16 roles with salary data.
Director of COE for Machine Learning Research will lead a team within the Research & Development department to establish a Machine Learning Center of Excellence. This Executive Director will oversee research applying advanced machine learning techniques, specifically deep learning and reinforcement learning, to systematic strategies, portfolio construction, and valuation models. Key responsibilities include designing models that convert AI-extracted signals from text, documents, and client telemetry into investment insights while mentoring a team of PhD-level researchers. The role requires expert programming skills, a PhD in a quantitative field, and a strong foundation in quantitative finance. The work involves integrating financial theory with machine learning to solve systematic investment challenges and power new products across various product lines for institutional clients.
Machine Learning
Deep Learning
Reinforcement Learning
Quantitative Finance
Statistics
Mathematics
Operations Research
AI
Portfolio Construction
Valuation Models
Machine Learning
Deep Learning
Reinforcement Learning
Quantitative Finance
Statistics
Mathematics
Operations Research
AI
Portfolio Construction
Valuation Models
Machine Learning
Deep Learning
Reinforcement Learning
Quantitative Finance
Statistics
Mathematics
Operations Research
AI
Portfolio Construction
Valuation Models
MLOps
Python
AWS
vLLM
Ray
Kubernetes
Docker
ECS
CUDA
Transformer models
Reinforcement Learning
Quantization
Vector Databases
Model Monitoring
Distributed Training
GPU
High Throughput
Low Latency