Morningstar
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Data Content Researcher, Credit Ratings (Structured Finance, Securitization, Corporate Finance)
Data Content Researcher, Credit Ratings (Structured Finance, Securitization, Corporate Finance)
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The Role
The Data Content Researcher will analyze financial data in structured and corporate finance, ensure data quality, collaborate with stakeholders, and support product and engineering teams, while enhancing data usability and integrity.
Summary Generated by Built In
Morningstar DBRS is seeking a meticulous and analytically driven Data Content Researcher to join our growing team in Madrid.
This role sits at the critical intersection of finance, data, and product development. You will be a key liaison between the business, data engineering, and product teams, ensuring the integrity and usability of our core financial data assets.
Your deep understanding of financial data, specifically in structured finance (e.g., ABS, RMBS, CLOs) or corporate finance will be essential in shaping high-quality data products that serve our global client base.
Key Responsibilities:
Financial Data Analysis:
Data Quality & Stewardship:
Product & Engineering Support:
Stakeholder Collaboration:
Requirements
Base Salary Compensation Range
EUR 47,000.00-65,666.66
Bonus Target:
12.5% Annual
We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate's qualifications, experience, and other job-related factors.
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.
R10_DBRSRtgsGmbHSpain DBRS Ratings GmbH Sucursal en España - Spain Legal Entity
This role sits at the critical intersection of finance, data, and product development. You will be a key liaison between the business, data engineering, and product teams, ensuring the integrity and usability of our core financial data assets.
Your deep understanding of financial data, specifically in structured finance (e.g., ABS, RMBS, CLOs) or corporate finance will be essential in shaping high-quality data products that serve our global client base.
Key Responsibilities:
Financial Data Analysis:
- Analyze, interpret, and validate complex financial datasets related to structured finance and corporate credit.
- Understand the context and business logic behind the data, including how it is sourced, transformed, and utilized by analysts and clients.
- Identify trends, anomalies, and inconsistencies within large datasets.
Data Quality & Stewardship:
- Serve as a primary guardian of data quality for assigned domains.
- Design, document, and execute systematic data quality checks and validation rules in collaboration with data engineers.
- Proactively identify data issues, trace root causes, and manage resolutions through to completion.
- Work directly with business teams and data providers to cleanse, standardize, and enhance raw data.
Product & Engineering Support:
- Act as the key business subject matter expert for the data engineering and product development teams.
- Translate business requirements into clear, actionable specifications for data product enhancements.
- Assist in user acceptance testing (UAT) for new data feeds, tools, and product features.
- Contribute to the documentation of data dictionaries, lineage, and quality metrics.
Stakeholder Collaboration:
- Collaborate effectively with credit analysts, data engineers, product managers, and commercial teams across regions
- Communicate data insights, issues, and solutions clearly to both technical and non-technical audiences.
Requirements
- Bachelor's degree in Finance, Economics, Data Analytics, Business Administration, or a related field.
- Minimum of 4+ years' experience working with financial data; ideally within a ratings agency, financial research, investment bank, asset manager, fintech, or data provider.
- Knowledge of structured finance (e.g., securitization, asset-backed securities, credit facilities) or corporate finance (financial statements, credit metrics, debt instruments).
- Strong analytical and problem-solving skills with a keen eye for detail and accuracy.
- Proficiency in SQL.
- Experience with data quality management concepts and tools.
- Excellent communication skills in English (verbal and written).
- Proactive, self-motivated, and capable of managing multiple priorities in a dynamic environment.
- CFA is a plus.
- Proficiency in Spanish is a plus.
- Experience with Python, R, or data visualization tools (e.g., Tableau, Power BI) is a plus.
- Experience with AWS concepts and infrastructure is a plus.
Base Salary Compensation Range
EUR 47,000.00-65,666.66
Bonus Target:
12.5% Annual
We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate's qualifications, experience, and other job-related factors.
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.
R10_DBRSRtgsGmbHSpain DBRS Ratings GmbH Sucursal en España - Spain Legal Entity
Skills Required
- Bachelor's degree in Finance, Economics, Data Analytics, Business Administration, or a related field
- Minimum of 4+ years' experience working with financial data
- Knowledge of structured finance or corporate finance
- Strong analytical and problem-solving skills
- Proficiency in SQL
- Experience with data quality management concepts and tools
- Excellent communication skills in English
- Proactive and self-motivated
- CFA is a plus
- Proficiency in Spanish is a plus
- Experience with Python, R, or data visualization tools is a plus
- Experience with AWS concepts and infrastructure is a plus
What the Team is Saying
Anna
Team Lead of Software Engineering
Upasna
Software Engineer, Data Collections - AI R&D
Saurabh
Senior Software Engineer
Wendell
Head of Sales, Institutional Equity Research
Raaghavendar
Associate Software Engineer
Jeff
Head of Technology and Product
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time away options include a paid six‑week sabbatical every four years and flexible time off in North America, with broad usage reported in 2024. Feedback suggests these programs are a distinctive strength by market standards.
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Parental & Family Support — A global minimum beginning in 2025 provides at least 16 weeks paid leave for primary caregivers and up to 8 weeks for secondary caregivers, plus at least 6 weeks paid caregiving leave. This breadth positions family support as a clear pillar of the package.
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Equity Value & Accessibility — An optional Shared Ownership program lets employees direct part of a bonus into RSUs with a 50% company match. This structure adds a notable long‑term ownership component to total rewards.
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The Company
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
