Data Science-Index Quant Specialist

MSCI R&D Quality & Architecture is a newly established cross-functional organization within R&D, created to drive consistent quality standards (especially from quantitative finance perspective), modular architecture, and AI-first workflows across MSCI's product lines. As a Senior Associate, you will play a key role in operationalizing this mandate by supporting the implementation of analytical validation frameworks, promoting modular design principles, and enabling the adoption of AI-driven workflows. The role requires close collaboration with research, engineering, and platform teams to ensure scalable, consistent, and high-quality product development.

Responsibilities

Quality & Validation

• Execute and support cross-product validation frameworks from the business / financial logic perspective.
• Identify quality gaps and recommend improvements aligned with firm-wide standards
• Ensure AI-driven workflows meet defined quality thresholds

Architecture & Modularity

• Support implementation of modular architecture principles across products
• Identify reuse opportunities across platforms to reduce duplication
• Contribute to design and architecture reviews for new initiatives

AI Workflow Enablement

• Assist in defining and implementing best practices for AI-driven workflows (e.g., agents, automation, pipelines)
• Evaluate new AI use cases against established standards and governance models
• Support initiatives to transition manual processes into AI-enabled workflows

Cross-Functional Collaboration

• Partner with product, engineering and R&D teams
• Ensure consistent application of standards across business lines

Requirements

• Bachelors or masters degree in Science, Technology, Engineering, Mathematics (STEM), quantitative finance, Investment analysis and Index management, or any other highly quantitative subject.
• 5-9 years of experience in quantitative profile in Finance.
• Knowledge of Indices is a plus.
• Some experience with any of the following languages: Python, C#, Java, C++
• Good analytical and quantitative skills.
• Willingness to learn about capital markets.
• Detail-oriented approach to daily work.
• Strong written and oral proficiency in English
• Strong sense of ownership with projects.
• Proactively identify and implement improvements to processes, products or services.
• Exposure to AI/ML workflows, automation frameworks, or agent-based systems.

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