Job Description

About Morningstar

Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data, research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive investment solutions.

The role

As an essential part of Morningstar Global MID Organization, MID Content Researcher Team is responsible for data process solution analysis and impact analysis for new data or data changes, business rule management, and platform change request review and sign off. The objective of the Content Research team is to build deep subject matter experts and commit to deliver deep data insight and high-quality data solutions to drive operational excellence. In this role, you will mainly work with content design team, tech team and data processing team to develop and implement enhancements to various data and analysis of data. You will be a key contributor to design new data content process flow and user interface, build creative tool and provide constructive consultant for data process. This position is based in Madrid

Responsibilities:

• Collaborate with content design team and data processing team to design new content process flow and user interface, build business logic to ensure new content workflow is built properly
• Translate system improvement requirement or data requirement through detailed written specifications to support the tech development work
• Conduct feasibility analysis and impact analysis to evaluate data solution / data collection methodology feasibility and impact
• Coordinates with relevant teams to ensure proper implementation
• Understand the data collection, system and back-end logic and be the escalation point for the related data issues
• Maintain database backend knowledge and ensure all the related CR analysis work is well documented.

Qualifications:

• At least 3-years professional experience working in investment data industry with wide and deep database knowledge
• A bachelor’s/master’s degree
• Be familiar with at least one of SQL, Python
• Strong quantitative, business analysis and problem-solving skills
• Excellent English verbal/presentation/written communication skills
• Self-motivated, detail-oriented, and organized
• CFA certifications are preferred
• Basic understanding of AI/ML is an advantage