Data Content Researcher, Credit Ratings (Structured Finance, Securitization, Corporate Finance)
hace 2 días
Madrid
ph3Key Responsibilities /h3 pFinancial Data Analysis: /p ul liAnalyze, interpret, and validate complex financial datasets related to structured finance and corporate credit. /li liUnderstand the context and business logic behind the data, including how it is sourced, transformed, and utilized by analysts and clients. /li liIdentify trends, anomalies, and inconsistencies within large datasets. /li /ul h3Data Quality Stewardship /h3 ul liServe as a primary guardian of data quality for assigned domains. /li liDesign, document, and execute systematic data quality checks and validation rules in collaboration with data engineers. /li liProactively identify data issues, trace root causes, and manage resolutions through to completion. /li liWork directly with business teams and data providers to cleanse, standardize, and enhance raw data. /li /ul h3Product Engineering Support /h3 ul liAct as the key business subject matter expert for the data engineering and product development teams. /li liTranslate business requirements into clear, actionable specifications for data product enhancements. /li liAssist in user acceptance testing (UAT) for new data feeds, tools, and product features. /li liContribute to the documentation of data dictionaries, lineage, and quality metrics. /li /ul h3Stakeholder Collaboration /h3 ul liCollaborate effectively with credit analysts, data engineers, product managers, and commercial teams across regions. /li liCommunicate data insights, issues, and solutions clearly to both technical and non‑technical audiences. /li /ul h3Requirements /h3 ul liBachelor’s degree in Finance, Economics, Data Analytics, Business Administration, or a related field. /li liMinimum of 4+ years’ experience working with financial data; ideally within a ratings agency, financial research, investment bank, asset manager, fintech, or data provider. /li liKnowledge of structured finance (e.g., securitization, asset‑backed securities, credit facilities) or corporate finance (financial statements, credit metrics, debt instruments). /li liStrong analytical and problem‑solving skills with a keen eye for detail and accuracy. /li liProficiency in SQL. /li liExperience with data quality management concepts and tools. /li liExcellent communication skills in English (verbal and written). /li liProactive, self‑motivated, and capable of managing multiple priorities in a dynamic environment. /li liCFA is a plus. /li liProficiency in Spanish is a plus. /li liExperience with Python, R, or data visualization tools (e.g., Tableau, Power BI) is a plus. /li liExperience with AWS concepts and infrastructure is a plus. /li /ul h3Base Salary Compensation Range /h3 pEUR 47,000.00 – 65,666.66 /p h3Bonus Target /h3 p12.5% Annual /p pMorningstar'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. /p pR10_DBRSRtgsGmbHSpain DBRS Ratings GmbH Sucursal en España - Spain Legal Entity /p /p #J-18808-Ljbffr