Morningstar

Morningstar

Posted via Workday

Senior Analyst, Private Corporate Credit

Posted Oct 28, 2026

Role at a glance

Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Toronto, Canada
Work arrangement
Hybrid
Employment
Full-time
Experience
Senior Level Two to four years of relevant professional experience in financial data analytics, quantitative research, corporate credit analysis, leveraged finance, corporate lending
Education
Bachelor's degree in finance, economics, business, data analytics, or a related field.

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Role Summary

AI-generated

Senior Analyst role on the Private Corporate Credit team at Morningstar DBRS, combining financial data analytics, leveraged finance research, and credit analysis. The role focuses on sourcing and transforming financial and economic data into insights for investment professionals and on assessing the creditworthiness of small to medium-sized, highly leveraged companies.

What You'll Do

  • Source, validate, organize, and analyze financial and economic data across multiple platforms to support leveraged finance research and...
  • Design, develop, and maintain data structures and analytical tools using Excel, Python, SQL, and other platforms to support financial...
  • Develop informative charts, tables, and data visualizations that contribute to leveraged finance research and credit publications.
  • Support the credit analysis and ongoing surveillance of a portfolio of small to medium-sized, highly leveraged companies, including...
  • 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...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Senior-level role requiring a bachelor's degree, two to four years of relevant experience, and strong financial analysis and Excel, Python, and SQL skills.

Required

  • Two to four years of relevant professional experience in financial data analytics, quantitative research, corporate credit analysis,...
  • Bachelor's degree in finance, economics, business, data analytics, or a related field
  • Strong financial and quantitative analytical skills, including experience working with financial statements, economic data, and large...
  • Experience with time-series and cross-sectional data analysis, with an interest in applying quantitative methods to financial markets...
  • Advanced proficiency in Microsoft Excel, along with strong working knowledge of Python and SQL for financial data analysis,...
  • 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

Preferred

  • Progress toward the CFA designation
  • Familiarity with data visualization tools such as Tableau
  • Experience using AI platforms such as Microsoft Copilot or Claude to support research, data analysis, or workflow efficiency

Original job description

Content provided by the employer

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

About the company

Morningstar

Large Enterprise

Morningstar is a leading provider of independent investment research, helping investors make informed decisions by offering insights on mutual funds, stocks, and other financial vehicles. Founded in 1984, the company is recognized for its extensive data analytics, robust software solutions, and a commitment to transparency in financial reporting. Morningstar serves a diverse client base, including individual investors, financial advisors, and institutional clients, with a mission to empower investment decisions through unbiased information and innovative tools. With a global presence and a strong reputation for reliability, Morningstar is at the forefront of the financial services industry.