Unlock what's already in you
Morningstar Logo

Morningstar

Senior Analyst, Private Corporate Credit

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Toronto, ON
65K-90K Annually
Senior level
Hybrid
Toronto, ON
65K-90K Annually
Senior level
Conduct financial data analytics, leveraged finance research, and credit analysis for private corporate credit portfolios. Source and transform financial and economic data using Excel, Python, and SQL; develop quantitative tools, models, visualizations, and surveillance workflows. Review financial statements, assess creditworthiness, prepare rating committee materials, support credit recommendations, and engage with lenders, investors, and bankers. The role also contributes to research publications and identifies process improvements.
The summary above was generated by AI
The Role:

Morningstar DBRS is seeking a Senior Analyst to join its Private Corporate Credit team. This role combines financial data analytics, leveraged finance research, and credit analysis, with an emphasis on sourcing, analyzing, and transforming complex financial and economic data into meaningful insights for investment professionals.


Working closely with senior analysts and management, you will contribute to the development of high-quality leveraged finance research through data analysis, quantitative tools, and financial modeling. You will also gain exposure to assessing the creditworthiness of small to medium-sized, highly leveraged companies, with opportunities to take on greater credit analysis and ratings responsibilities over time.


What you'll be doing:
  • Source, validate, organize, and analyze financial and economic data across multiple platforms to support leveraged finance research and credit analysis.
  • Design, develop, and maintain data structures and analytical tools using Excel, Python, SQL, and other platforms to support financial research, quantitative analysis, and ongoing credit surveillance.
  • Develop informative charts, tables, and data visualizations that contribute to timely, high-quality leveraged finance research and credit publications.
  • Apply quantitative methods, including time-series and cross-sectional data analysis, to identify trends and generate insights across financial markets and leveraged finance.
  • Support the credit analysis and ongoing surveillance of a portfolio of small to medium-sized, highly leveraged companies, including reviewing financial statements and assessing credit fundamentals.
  • Assist in preparing rating committee materials, developing credit recommendations, and participating in rating committee discussions.
  • Build and maintain relationships with market participants, including lenders, investors, and bankers, to support market intelligence and credit research.
  • Help manage and monitor a broad portfolio of credits while identifying opportunities to improve analytical processes, data management, and workflows.

What we're looking for:
  • Two to four years of relevant professional experience in financial data analytics, quantitative research, corporate credit analysis, leveraged finance, corporate lending, or a related analytical discipline.
  • Bachelor's degree in finance, economics, business, data analytics, or a related field. Progress toward the CFA designation is a plus.
  • Strong financial and quantitative analytical skills, including experience working with financial statements, economic data, and large financial datasets.
  • Experience with time-series and cross-sectional data analysis, with an interest in applying quantitative methods to financial markets and credit research.
  • Advanced proficiency in Microsoft Excel, along with strong working knowledge of Python and SQL for financial data analysis, manipulation, and reporting.
  • Familiarity with data visualization tools such as Tableau is a plus.
  • Experience using AI platforms such as Microsoft Copilot or Claude to support research, data analysis, or workflow efficiency is preferred.
  • Strong written and verbal communication skills, with the ability to translate complex financial data into clear, actionable insights.
  • A proactive, collaborative approach, strong attention to detail, and the ability to manage multiple priorities in a fast-paced environment.

The Group:

Our Private Corporate Credit team focuses on assessing the creditworthiness of middle-market and highly leveraged companies within the evolving private credit market.


Through fundamental credit analysis, financial data, and ongoing research and surveillance, the team provides insights into borrower performance, credit trends, and emerging risks to support informed investment and lending decisions.


Base Salary Compensation Range:

$65,000.00-$90,000.00 CAD
Incentive Target Percentage:

15% Annual

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

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.

Morningstar San Francisco, California, USA Office

1 Embarcadero Ctr, San Francisco, California, United States, 94111 3698

Similar Jobs at Morningstar

2 Hours Ago
Hybrid
74K-108K Annually
Junior
74K-108K Annually
Junior
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Develop and maintain scalable backend applications using C#/.NET, SQL Server, and AWS. Build RESTful APIs, data processing pipelines, and database-driven services; optimize performance, write tests, participate in code reviews and CI/CD, troubleshoot production issues, and support cloud modernization. Collaborate with product managers and cross-functional engineering teams while contributing to AI-assisted development, secure coding, automation, and an on-call rotation.
Top Skills: .NetApi GatewayAWSAws CodepipelineC#ChatgptCi/CdEc2EcsGitGithub CopilotHarnessJavaJIRALambdaMachine LearningPythonRestful ApisS3SQL ServerSqsT-Sql
Yesterday
Hybrid
78K-114K Annually
Mid level
78K-114K Annually
Mid level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Own the roadmap and backlog for managed investment calculations. Translate investment methodologies and business needs into calculation specifications, requirements, user stories, and acceptance criteria. Analyze complex datasets with SQL, prototype and validate calculations, investigate discrepancies, and collaborate with research, engineering, QA, and stakeholders to ensure accurate production implementation. Prioritize enhancements, manage methodology changes, document calculations, monitor quality and adoption, and communicate delivery risks.
Top Skills: APIsCloud Analytical PlatformsData PipelinesPythonSQL
2 Days Ago
Hybrid
82K-120K Annually
Mid level
82K-120K Annually
Mid level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Conduct fundamental credit analysis and ongoing surveillance of leveraged corporate portfolios. Assess financial performance, cash flow, leverage, and credit risks; prepare rating committee materials and written research; develop and defend credit recommendations; monitor market trends; engage lenders, investors, and bankers; and improve analytical workflows and data management.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account