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
- Clear communication and ability to explain complex financial data
Apply financial analytics, quantitative methods, Python, and SQL to Morningstar DBRS credit research and surveillance.
Senior Credit Data Analyst in Toronto employer: Morningstar
At Morningstar, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Software Engineer in AI Systems Integration, you'll enjoy the benefits of a collaborative hybrid environment, opportunities for professional growth, and the chance to make a significant impact on investment research through cutting-edge AI technologies. Join us to be part of a team that values creativity, continuous learning, and meaningful contributions.
