Quantitative Researcher - Model Scaling

MSCI • San Francisco, CA

8d

About The Position

The Quantitative Researcher will work on MSCI’s Factors Research Platform and Governance team, which builds and modernizes the infrastructure, tooling, and frameworks that power quantitative risk and factor model research. The role focuses on creating systems and environments that help researchers iterate quickly, maintain model governance, and deliver production-quality outputs at scale.

The researcher will design and build modern research infrastructure that integrates AI into model development, validation, and reporting workflows. The position also involves developing tools and frameworks to help researchers turn high-level specifications into production-ready implementations, building automated validation, testing, and governance pipelines, and writing production-level code for platform development and model delivery. The role supports existing factor and risk models while evolving the platform to enable faster research iteration, and involves collaboration with research, engineering, and data teams as well as presenting complex systems and methods to varied audiences.

Requirements

• M.S. or Ph.D. in Finance, Statistics, Computer Science, Engineering, or another quantitative discipline.
• Strong software engineering skills, particularly in Python.
• Hands-on experience with modern AI-assisted development tools and workflows, including the ability to stay current with evolving AI capabilities and incorporate them into day-to-day work.
• Experience building systems and tooling that leverage AI/LLMs to augment technical workflows.
• Data analysis experience and experience with large-scale data infrastructure.
• Knowledge of econometrics and applied statistics.
• Ability to work independently and drive projects from design through delivery.

Nice To Haves

• Knowledge of finance or risk modeling is preferred but not required.

Responsibilities

• Design and build modern research infrastructure integrating AI to accelerate model development, validation, and reporting workflows.
• Develop tools and frameworks that move researchers from high-level specifications to production-ready implementations with minimal manual overhead.
• Build and maintain automated validation, testing, and governance pipelines for quantitative models.
• Write production-level code to support platform development and model delivery.
• Support existing factor and risk models while evolving the platform to enable faster research iteration.
• Collaborate cross-functionally with research, engineering, and data teams.
• Present complex systems and methods to a broad range of audiences.

Benefits

• Eligible for an annual bonus.
• Comprehensive employee benefits tailored to location, supporting financial security, health, and wellbeing.
• Flexible working arrangements.
• Global Orientation program.
• Access to the Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities.
• Professional growth and development through new challenges, internal mobility, and expanded roles.
• Employee Resource Groups and an environment focused on inclusion, belonging, and connection.

What This Job Offers

• Job Type: Full-time