Quantitative Researcher - Model Scaling

MSCI • San Francisco, CA

19h

About The Position

The Factors Research Platform and Governance team at MSCI is responsible for building and modernizing the infrastructure, tooling, and frameworks that power MSCI's quantitative risk and factor model research. The team develops the systems and environments that enable researchers to iterate quickly, maintain model governance, and deliver production-quality outputs at scale. This role involves designing and building modern research infrastructure that integrates AI to accelerate model development, validation, and reporting workflows. It also includes developing tools and frameworks for production-ready implementations, building and maintaining automated validation, testing, and governance pipelines for quantitative models, and writing production-level code. The position supports existing factor and risk models while evolving the platform for faster research iteration, and requires cross-functional collaboration with research, engineering, and data teams, as well as presenting complex systems to diverse audiences.

Requirements

• M.S. or Ph.D. in Finance, Statistics, Computer Science, Engineering, or other quantitative discipline
• Strong software engineering skills, particularly in Python
• Hands-on experience with modern AI-assisted development tools and workflows, with a demonstrated ability to stay current with rapidly 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 and experience with large-scale data infrastructure
• 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

• Designing and building modern research infrastructure that integrates AI to accelerate model development, validation, and reporting workflows
• Developing tools and frameworks that allow researchers to move from high-level specifications to production-ready implementations with minimal manual overhead
• Building and maintaining automated validation, testing, and governance pipelines for quantitative models
• Writing production-level code to support platform development and model delivery
• Supporting existing factor and risk models while evolving the platform to enable faster research iteration
• Collaborating cross-functionally with research, engineering, and data teams
• Presenting complex systems and methods to a broad range of audiences

Benefits

• Salary range: $144,000 - $187,000 / year plus eligible for annual bonus
• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees