
at Morningstar
Asset ManagementPosted 3 months ago
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Join Morningstar's Data Operations team for Indexes as an Associate on an 18-month contract. You will assist in collecting, validating, and processing financial market data, write and optimize SQL queries, and develop Python scripts for data transformation and automation. You will collaborate with cross-functional teams to ensure data integrity, document workflows, and help improve operational efficiency while gaining hands-on experience in index production workflows.
- Compensation
- Not specified
- City
- Not specified
- Country
- Germany
Currency: Not specified
Full Job Description
About Morningstar
Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data,
research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive investment solutions.
About the Role
We are seeking a motivated and detail-oriented Associate to join our Data Operations team at Morningstar Indexes. You'll be having a hands-on experience in managing and processing financial data, supporting index production workflows, and contributing to data quality initiatives. The ideal candidate will have foundational skills in SQL and Python, a passion for data, and a strong analytical mindset.
Key Responsibilities
Assist in the collection, validation, and processing of financial market data from various sources.
Write and optimize SQL queries to extract and manipulate data from relational databases.
Develop and maintain Python scripts for data transformation, automation, and reporting.
Collaborate with cross-functional teams including Index Research, IT, and Product to ensure data integrity.
Help document data workflows and contribute to process improvement initiatives.
Monitor data pipelines and troubleshoot issues under supervision.
Participate in team meetings and contribute ideas to improve operational efficiency.
Qualifications
Bachelors or Masters degree in Data Science, Computer Science, Finance, Economics, or a related field.
Basic proficiency in SQL and Python.
Familiarity with relational databases and data structures.
Strong analytical and problem-solving skills.
Attention to detail and commitment to data accuracy.
Ability to work independently and in a team-oriented environment.
Good communication skills in English; German is a plus but not required.
Interest in financial markets and index methodologies is a plus.
Ready to Shape the Future?
At Morningstar, every hire we make strengthens our mission to empower investor success. Apply now and help shape the future of investing with us.
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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