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MSCI

Offers data, indexes, analytics for investments

Quantitative Researcher - Model Scaling

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A Master of Science or Ph.D. in Finance, Statistics, Computer Science, Engineering, or another quantitative discipline is required.
  • Strong software engineering skills, particularly in Python, are required.
  • Hands-on experience with modern AI-assisted development tools and workflows, and the ability to stay current with evolving AI capabilities and incorporate them into daily work, are required.
  • Experience building systems and tooling that leverage artificial intelligence and large language models to augment technical workflows is required.
  • Data analysis experience and experience with large-scale data infrastructure are required.
  • Knowledge of econometrics and applied statistics is required.
  • The ability to work independently and drive projects from design through delivery is required.

Responsibilities

  • Design and build modern research infrastructure integrating artificial intelligence to accelerate model development, validation, and reporting workflows.
  • Develop tools and frameworks that help researchers turn high-level specifications into 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.

Desired Qualifications

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

About the Company

MSCI

Offers data, indexes, analytics for investments

MSCI provides data, indexes, analytics, and technology solutions for institutional investors, asset managers, and wealth managers across public and private markets. Its index products measure global markets, private asset data offers benchmarks and analytics for illiquid investments, and ESG data, models, and ratings help assess sustainability risk. Risk management and portfolio tools integrate analytics to support asset allocation and personalized portfolios, while research and partnerships broaden access to private market intelligence. The goal is to help clients make informed decisions, manage risk, and grow assets by delivering reliable data and practical tools in a single ecosystem.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1969

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