Associate Content Researcher

Morningstar; Mumbai City; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Global collaboration opportunity

Equal opportunity employer

Job summary

Morningstar India is seeking an Associate Data Content Researcher to join the Mumbai team. The role focuses on designing data collection flows, enhancing interfaces, and ensuring data accuracy across global data initiatives.

You will collaborate with Data Strategy, Tech, and Global MID operations to drive operation excellence. The position is based in Mumbai with UK shift timing, requiring strong analytical skills, knowledge of databases, SQL, and Python, and a proactive, detail-oriented mindset

Qualifications

• Bachelor's degree in engineering, finance, economics, or business with an exceptional academic record.
• 3-6 years in business/data analysis, preferably within capital markets, wealth management, or asset management.
• 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.
• CFA/NISM/FRM/NCFM certifications or progress towards those preferred.

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.

Skills

Data analysis

Python

AI tools

Education

Bachelor's degree in Engineering/Finance/Economics/Business

Tools

SQL

Job description

Title: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

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 Associate Data Content Researcher to join Mumbai Managed Investment Data team. In this role, you will work with Data Strategy 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.

Shift - UK

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.
• 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.

Morningstar’s hybrid work environment gives you the opportunity to collaborate in-person each week as we’ve found that we’re at our best when we’re purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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.

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