Morningstar is hiring freshers and experienced candidates for the Analyst-SFA role in Mumbai, India. Candidates who have completed a Bachelor’s or Master’s Degree in Engineering, Finance, Management, or a related quantitative discipline can apply for this opportunity. Candidates from the 2023, 2024, 2025, and 2026 batches are eligible based on the provided hiring details.
The role involves working with financial data, Python programming, data analytics, SQL databases, and business research. Candidates with knowledge of Python, Pandas, NumPy, Tableau, Microsoft Excel, VBA, and MSSQL can explore this opportunity to build their careers in the financial technology and analytics domain.
Morningstar Recruitment 2026
| DetailsInformation | Information |
|---|---|
| Company | Morningstar |
| Job Role | Analyst-SFA |
| Qualification | Bachelor’s / Master’s Degree |
| Eligible Branches | Engineering, Finance, Management, Quantitative Disciplines |
| Eligible Batches | 2023, 2024, 2025, 2026 |
| Experience | Freshers to 2 Years |
| Freshers Eligible | Yes |
| Salary | ₹3 – ₹7 LPA (Expected) |
| Job Type | Full-Time |
| Work Mode | As per Company Requirements |
| Location | Mumbai, India |
| Date Published | 7 November 2026 |
Morningstar Analyst-SFA Job Description
Morningstar is looking for candidates for the Analyst-SFA position to support its financial data and analytics operations. The selected candidates will work with the team to manage data-related projects, improve data processes, and deliver accurate and high-quality results.
The role involves working with financial products, Python programming, data transformation, database management, and analytical tools. Candidates will collaborate with Associate Quant Analysts and other team members to collect, organize, analyze, and integrate data from multiple sources.
This position offers an opportunity to develop professional skills in financial analytics, data science, and quantitative research while working with a reputed global financial services company.
Roles and Responsibilities
- Work with Associate Quant Analysts to deliver projects and services.
- Assist the team with transforming, improving, and integrating data based on business requirements.
- Combine data results from multiple sources for analysis and reporting.
- Understand data storage and access concepts, particularly structured data systems.
- Work with databases and technologies such as SQL, Athena, and AWS S3.
- Participate in the design and development phases to deliver high-quality solutions.
- Identify opportunities to improve processes and introduce automation.
- Collect, organize, and analyze data from internal and external sources.
- Support criteria development, ratings, and research reports.
- Take ownership of assigned tasks while maintaining quality and accuracy.
- Demonstrate a strong learning ability and adapt to changing business requirements.
- Manage multiple tasks and meet project deadlines.
- Follow regulatory requirements and company policies.
Qualifications & Skills
- Bachelor’s degree in Engineering, Finance, Management Studies, or another quantitative discipline.
- Master’s degree or postgraduate enrollment in Data Analytics or Data Science is an added advantage.
- Freshers and candidates with up to 2 years of experience can apply, as per the stated eligibility.
- Experience working with financial products using Python is preferred.
- Proficiency in Python and Anaconda.
- Knowledge of data science libraries such as Jupyter, Pandas, and NumPy.
- Familiarity with Tableau and Microsoft Excel.
- Knowledge of Visual Basic for Applications (VBA) and MSSQL.
- Understanding of object-oriented programming is an added advantage.
- Strong attention to detail and accuracy.
- Good analytical and problem-solving abilities.
- Ability to manage multiple assignments and deliver results within deadlines.
- Positive attitude, self-motivation, and willingness to learn.
- Good interpersonal and teamwork skills.
- Ability to work independently and contribute effectively as a team member.
Work Environment
The Analyst-SFA position is based in Mumbai, India. Candidates will work with the financial analytics and research team to support data-related projects and business requirements.
The role involves handling financial datasets, working with analytical tools, collaborating with Associate Quant Analysts, and ensuring the accuracy and quality of deliverables.
Candidates should be comfortable managing multiple tasks, meeting deadlines, and following company policies and regulatory requirements.
Salary Details
The expected salary for the Morningstar Analyst-SFA role is approximately ₹3 LPA to ₹7 LPA.
This is an estimated salary range and not an officially confirmed compensation figure. The actual salary may vary depending on the candidate’s qualifications, Python and data analytics skills, experience, and company compensation policies.
How To Apply For Morningstar Careers
- Click on the Apply Here button provided below.
- Visit the official Morningstar careers page.
- Search for the Analyst-SFA job opening.
- Review the eligibility criteria and job responsibilities carefully.
- Create an account if you are a new applicant.
- Log in and complete the application form with the required details.
- Upload your updated resume and other necessary documents.
- Verify all the information entered in the application.
- Submit your application through the official careers portal.
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About Morningstar
Morningstar is a leading global financial services company that provides independent investment research, data, and financial information to investors and financial professionals.
The company offers investment research, portfolio management solutions, financial data, analytics, and technology services. Morningstar helps investors make informed financial decisions through its research, investment insights, and data-driven solutions.
With operations across multiple countries, Morningstar serves individual investors, financial advisors, asset managers, and institutions worldwide.
Final Summary
Morningstar is hiring candidates for the Analyst-SFA position in Mumbai, India. Candidates with Bachelor’s or Master’s degrees in Engineering, Finance, Management, or related quantitative disciplines can apply.
The opportunity is open to 2023, 2024, 2025, and 2026 batches, with eligibility for freshers and candidates with up to 2 years of experience. Applicants should have knowledge of Python, Pandas, NumPy, Tableau, Excel, VBA, and MSSQL.
The expected salary is ₹3–₹7 LPA. Candidates interested in financial analytics, Python programming, and data science can explore this opportunity and apply through the official Morningstar careers portal.
