As a Content Researcher, you will design content processes, conduct feasibility analyses, and document database backend knowledge in collaboration with various teams.
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
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
302_MstarEurServSL Morningstar Europe Services, S.L. Legal Entity
Top Skills
Python
SQL
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