Machine Learning Researcher

MSCI Inc; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

MSCI Inc. is establishing a Machine Learning Center of Excellence within the Research & Development team to develop ML models powering investment tools for institutional clients.

Early-career researchers with recent PhDs will apply advanced ML techniques to systematic strategies, portfolio construction, and valuation models. The role involves conducting research that integrates financial theory with deep learning and reinforcement learning, designing models that translate AI signals into

Qualifications

• PhD in a quantitative field from a top institution.
• Strong interest in quantitative finance.
• Expert programming skills.
• Publication record in ML or quantitative finance preferred.
• Ability to communicate complex ideas clearly to technical and business stakeholders.

Responsibilities

• Conduct research using ML 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.

Skills

Deep learning

Reinforcement learning

Machine learning

Quantitative finance

Programming skills

Education

PhD in a quantitative field

Tools

Python

TensorFlow/PyTorch

Job description

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.

• 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

• 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
• Publication record in machine learning or quantitative finance (preferred)
• Ability to communicate complex ideas clearly to technical and business stakeholders