Senior Analyst, Private Corporate Credit

Posted An Hour Ago
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Toronto, ON, CAN
Hybrid
65K-90K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
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.
Summary Generated by Built In
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.

Skills Required

  • 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
  • Strong financial and quantitative analytical skills, including experience with financial statements, economic data, and large financial datasets
  • Experience with time-series and cross-sectional data analysis
  • Advanced proficiency in Microsoft Excel
  • Strong working knowledge of Python and SQL for financial data analysis, manipulation, and reporting
  • Strong written and verbal communication skills
  • Proactive, collaborative approach, strong attention to detail, and ability to manage multiple priorities
  • Progress toward the CFA designation
  • Familiarity with data visualization tools such as Tableau
  • Experience using AI platforms such as Microsoft Copilot or Claude for research, data analysis, or workflow efficiency

What the Team is Saying

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Morningstar Compensation & Benefits Highlights

  • Parental & Family Support — Paid parental leave sets a global minimum for primary and secondary caregivers, with additional paid caregiving leave available. These provisions signal strong support for family needs.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, and a paid sabbatical every four years provide substantial time away from work. This structure reinforces work-life balance over the long term.
  • Retirement Support — Employer retirement contributions or matching are paired with free access to retirement-planning tools. This combination bolsters long-term financial security.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.

Why Work With Us

Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week
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