Associate Content Researcher

The Team

As an essential part of Morningstar Global MID Organization, Data Content Research Team is responsible for data process solution analysis and impact analysis for new data or data changes, business rule management, and data collection platform change request review and sign off. The team would collaborate with different data function teams on key data initiatives, and continue drive operation excellence.

The Role

Morningstar seeks a self-motivated Data Content Researcher to join Mumbai Managed Investment Data team. In this role, you will work with Content design team, Tech team and Global MID operations team to implement new data, data changes, business rule enhancement and interface enhancements to drive operation excellence. You will be a key contributor to design new data collection process flow and user interface, build creative tool and provide insight for data enhancement and you would also play a key role as the data escalation point. Your exposure to global teams will allow you to have a solid foundation for your career. This position is based in Mumbai office.

Responsibilities:

• Review and interpret business requirements to propose actionable data and process solutions
• Use data mining to surface data issue and support data strategy decision-making.
• Design new data flow and user interface, build back-end logic to ensure data accuracy.
• Provide solution and consultation for data processing improvement from overall data perspective.
• Provide proper proposal for data quality control backend logic to drive data accuracy improvement.
• Interpret data methodologies into usable technology language through detailed written specifications
• Conduct feasibility analysis and impact analysis to evaluate data solution / methodology feasibility and impact
• Communicate with stakeholders on the potential impacts or risks of the proposal, and make the risk mitigation plan
• Coordinates with relevant teams to ensure proper implementation and documentation
• Maintain database backend knowledge and build readable documentation.

Requirements:

• 3-6 years in business/data analysis, preferably within capital markets, wealth management, or asset management domains.
• A bachelor’s degree in engineering, finance, economics, or business with an exceptional academic record.
• Experience with SQL. Basic programming, Python and database skills is preferred
• Strong quantitative and business analysis skills
• Excellent English verbal/presentation/written communication skills
• Highly interest in data and analytics
• Profound understanding of Fund data
• Data, system, process and backend logic
• Self-motivated, detail-oriented, and organized
• CFA/NISM/FRM/NCFM certifications or progress towards those preferred.