Senior Analyst, Private Corporate Credit (Hybrid)

Morningstar, Inc.; Chicago (IL); Híbrido; USD 92.000 - 116.000; Jornada completa

Descripción de la vacante

Morningstar DBRS seeks a Senior Analyst for its Private Corporate Credit team in Chicago. You will analyze financial data, perform leveraged finance research, and contribute to credit analysis and ratings discussions.

Work closely with senior analysts, build data models in Excel/Python/SQL, and develop visualizations to support research and publications. The role offers a hybrid work model with heavy emphasis on data-driven decision making.

Formación

• Bachelor's degree in finance, economics, business, data analytics, or related field.
• Strong financial and quantitative analysis skills with experience in financial data.
• Familiarity with leveraging data analysis to support credit research.

Responsabilidades

• Source, validate, organize, and analyze financial and economic data to support research and credit analysis.
• Design, develop, and maintain data structures and tools using Excel, Python, SQL for research.
• Develop charts and data visualizations to inform leveraged finance publications.
• Apply time-series and cross-sectional analysis to identify trends across markets.
• Support credit analysis and surveillance of a portfolio of highly leveraged companies.
• Prepare rating committee materials and contribute to credit recommendations.
• Build relationships with lenders, investors, and bankers for market intelligence.

Conocimientos

Financial data analytics

Leveraged finance research

Credit analysis

Excel

Python

SQL

Tableau

AI platforms (Copilot/Claude)

Educación

Bachelor's degree in finance, economics, or related field

Herramientas

Tableau

SQL

Descripción del empleo

Morningstar DBRS seeks a Senior Analyst for its Private Corporate Credit team in Chicago. You will analyze financial data, perform leveraged finance research, and contribute to credit analysis and ratings discussions.

Work closely with senior analysts, build data models in Excel/Python/SQL, and develop visualizations to support research and publications. The role offers a hybrid work model with heavy emphasis on data-driven decision making.