Use Python, SQL, and financial modeling as a Senior Analyst with Morningstar DBRS’s Private Corporate Credit team in a hybrid work environment. Transform complex financial data into insights for investment professionals and credit research.
This Senior Analyst role combines financial data analytics, leveraged finance research, and credit analysis. You will support high-quality research by building quantitative tools, analyzing financial statements, and assessing highly leveraged companies. The team provides insights into borrower performance, credit trends, and emerging risks.
Key Responsibilities: Source and validate financial and economic data across multiple platforms
Maintain analytical tools using Excel, Python, SQL, and other platforms
Create charts, tables, and visualizations for credit publications




Apply time-series and cross-sectional analysis to financial markets
Support credit surveillance and rating committee materials
Requirements: Two to four years of relevant analytical experience
Bachelor’s degree in finance, economics, business, or data analytics
Strong financial and quantitative analytical skills
Advanced Microsoft Excel, Python, and SQL proficiency
Explicit communication and ability to explain complex financial data
Apply financial analytics, quantitative methods, Python, and SQL to Morningstar DBRS credit research and surveillance.

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📌 Senior Credit Data Analyst (Ontario)
🏢 Morningstar
📍 Ontario