Machine Learning Researcher

MSCI•San Francisco, CA

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 are seeking exceptional early-career researchers with recent PhDs to join this strategic initiative, 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 interest in quantitative finance
Expert programming skills
Ability to communicate complex ideas clearly to technical and business stakeholders

Nice To Haves

Publication record in machine learning or quantitative finance

Responsibilities

Conduct 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
Contribute to thought leadership through research innovation and publishing
Collaborate with product, technology, and sales teams

Benefits

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
A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and 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.
We actively nurture an environment that builds a sense of inclusion belonging and connection, including 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.