Associate Content Researcher

Location

• Vashi, Navi Mumbai
• Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities.
• Morningstar India has been a Great Place to Work-certified company for the past ten consecutive years.

The Team

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.
• 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. Understanding of Database Structure and Design Experience with SQL. Basic programming, Python and database skills is preferred Experience with AI tools is a plus 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.
• 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.
• Understanding of Database Structure and Design
• Experience with SQL. Basic programming, Python and database skills is preferred
• Experience with AI tools is a plus
• 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.

Morningstar is an equal opportunity employer.