Data Scientist

Morningstar

Morningstar's Quantitative Research Group focuses on investment research and data-driven analytics to empower investors. They use advanced statistical methods and large datasets, covering assets like equities and funds. The Data Scientist will contribute to quantitative research, leveraging large language models to improve investment management.

In this role you can expect to have the responsibilities:

• Conduct research to develop AI-driven solutions for client outcomes.
• Utilize language models and vector embeddings to enhance AI tools.
• Publish research content on optimizing investment workflows.
• Identify AI methodology applications across Morningstar's datasets.
• Drive AI solution adoption across business units.

This role comes with the following benefits:

• Hybrid work environment with remote and in-person collaboration.
• Flexible work benefits.

This role requires you to have:

• 3+ years of experience with AI/machine learning solutions.
• Advanced degree in quantitative or AI-related field.
• Expertise in large language models, vector databases, and prompt engineering.
• Proficiency in Python and SQL.
• Experience deploying machine learning algorithms in production.

You would benefit from having:

• Familiarity with Investment Management and Morningstar databases.
• Strong communication skills.
• Organizational and multitasking skills.
• Passion for AI-driven product development.

Morningstar provides a hybrid work environment, encouraging regular in-person collaboration. Multiple benefits are offered to support flexibility.