Executive Director, Machine Learning Research

MSCI•San Francisco, CA

1d•$195,000 - $254,000•Hybrid

About The Position

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We seek an Executive Director to lead research applying advanced machine learning techniques including deep learning and reinforcement learning to systematic strategies, portfolio construction, and valuation models.

Requirements

PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related quantitative field from a top institution
Strong foundation in quantitative finance
Expert programming skills
Ability to communicate complex ideas clearly to technical and business stakeholders
Experience building and mentoring technical teams

Nice To Haves

Publication record in machine learning or quantitative finance

Responsibilities

Lead a team conducting research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning
Design and develop models that convert AI-extracted signals from text, documents, and client telemetry into investment insights
Deliver research powering new products across MSCI's product lines
Build and mentor a team of PhD-level machine learning researchers
Engage directly with clients to understand systematic investment challenges
Contribute to thought leadership through research innovation and publishing
Collaborate with product, technology, and sales teams

Benefits

Eligible for annual bonus
Transparent compensation schemes
Comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
Flexible working arrangements
Advanced technology
Collaborative workspaces
Access to our Learning@MSCI platform
AI Learning Center
LinkedIn Learning Pro
Tailored learning opportunities for ongoing skills development
Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
Eight Employee Resource Groups (All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum).