Sustainability Model Validation Specialist

Your Team Responsibilities

MSCI ESG Research is recognized as the global standard for providing sustainability signals, data, and insights. Our team plays a crucial role in developing robust and scalable methodologies that power ESG ratings and sustainability solutions, helping investors assess ESG risks and opportunities across thousands of companies worldwide.

Model validation is a key pillar of this effort, ensuring that our methodologies remain transparent, reliable, and aligned with the evolving needs of investors and regulators. As ESG regulations develop, we are expanding our focus on model validation, strengthening our capabilities in efficacy testing, implementation testing, and other quantitative validation techniques. While we have existing processes in place, we are looking to enhance and formalize our validation framework, particularly on the quantitative side, to support the continued credibility and robustness of our sustainability models.

This team will work at the intersection of research, data science, and technology, collaborating closely with methodology developers, data engineers, and external stakeholders to implement best practices in model validation. By advancing our testing frameworks and validation tools, we aim to reinforce the integrity of our models and ensure they continue to meet the highest industry standards.

Your Key Responsibilities

• Contribute to the implementation of MSCI’s sustainability model validation framework, supporting best practices and regulatory alignment.

• Assist in the design and execution of efficacy tests, implementation checks, and other validation analyses for ESG models.

• Conduct statistical analyses and interpret model performance results using Python and related quantitative tools.

• Support the development and automation of validation tools and processes in collaboration with research and technology teams.

• Prepare clear, well-documented results and contribute to validation documentation in coordination with the technical writing team.

• Help maintain and organize model review materials and contribute to internal knowledge-sharing efforts.

• Monitor industry and regulatory trends related to model validation and sustainability to support continuous improvement.

• Engage with methodology teams to provide feedback and flag potential model issues based on validation findings.

Your skills and experience that will help you excel

• 2–5 years of professional experience in a quantitative role; prior experience in model validation, risk, or financial modeling is a plus.

• Proficiency in Python for data analysis, model testing, and automation tasks.

• Degree in finance, quantitative finance, financial mathematics, economics, mathematics, physics, statistics, or a related quantitative field.

• Strong analytical skills with the ability to apply quantitative techniques to evaluate model performance.

• Good communication skills, especially in documenting and presenting technical findings clearly and concisely.

• A collaborative mindset and eagerness to learn from more senior colleagues and stakeholders across functions.

• Interest in ESG or sustainability topics; prior exposure is helpful but not required.

• Familiarity with regulatory concepts around model risk management is a plus but not essential.