Morningstar Logo

Morningstar

Data Research Analyst

Posted Yesterday
Be an Early Applicant
Hybrid
Toronto, ON
Junior
Hybrid
Toronto, ON
Junior
Performs Structured Finance security mappings, data quality controls, reconciliations, regulatory dataset validation, and data issue resolution. Maintains metadata, data dictionaries, and data lineage while supporting data governance and AI-ready initiatives. Collaborates with Data, Credit Operations, Technology, and global stakeholders to ensure accurate, complete, timely, and compliant ratings and regulatory data.
The summary above was generated by AI

The Role 

Morningstar DBRS is seeking a Data Research Analyst to join our Data Management team supporting Structured Finance security mappings and enterprise data initiatives. This role is responsible for ensuring the accuracy, completeness, and timeliness of critical ratings and regulatory datasets, while contributing to broader data governance and AIready data standards across the organization. 

This position offers exposure to fixed income data and AI / Data governance functions and works closely with global stakeholders across Data, Credit Operations, and Technology teams. 

 

The Responsibilities: 

  • Perform Structured Finance security mappings, ensuring accuracy and completeness of identifiers. 

  • Execute daily data quality controls across production datasets, including prepublication validations and reconciliations against external sources. 

  • Contribute to data governance and AI ready initiatives, including population and maintenance of metadata, data dictionary, and mapping out data lineage 

  • Investigate, resolve, and document data issues in collaboration with internal stakeholders. 

  • Support regulatory and reporting processes, including execution of data quality checks aligned to regulatory standards 

  • Reconcile regulatory datasets and reporting outputs to ensure consistency and compliance 

 

 The Requirements: 

  • Bachelor’s degree in Business, Economics, Finance, Data Science or Management Studies 

  • 1–3 years of experience in data governance, data operations, analytics, or financial services 

  • Strong attention to detail and ability to work with timesensitive, highquality data 

  • Proven ability to analyze, reconcile, and validate datasets from multiple sources 

  • Proficiency in Microsoft Excel; experience with databases or SQL is an asset 

  • Strong written and verbal communication skills, with the ability to collaborate across teams 

 

The Preferred Qualifications: 

  • Experience related to Structured Finance, credit ratings, or capital markets data 

  • Experience with data governance, metadata, or data quality frameworks 

  • Experience working with AI initiatives and projects 

Base Salary Compensation Range$47,476.00-$69,634.66

Incentive Target Percentage

7.5% Annual

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.

R06_DBRSInc DBRS, Inc. - US Legal Entity

Similar Jobs at Morningstar

Entry level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Analyze Canadian structured finance transactions, including collateral, deal structures, legal documentation, financial models, and cash-flow engines. Support rating committee presentations, reports, press releases, research, and credit recommendations. Build relationships with clients and external stakeholders while developing expertise in structured finance methodologies for ABS and ABCP transactions.
Top Skills: ExcelMS OfficePythonR
8 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, distributed services, retrieval architectures, orchestration frameworks, and evaluation systems. Partner with technical and business stakeholders to identify AI opportunities, modernize existing applications, and integrate AI into enterprise workflows. Influence architecture and engineering standards while supporting delivery planning and mentoring less experienced engineers.
Top Skills: APIsAWSAws BedrockDistributed ServicesMcp ServersModel EvaluationObservabilityOrchestration FrameworksPythonRetrieval-Based Architectures
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead credit analysis and ratings coverage for Canadian real estate issuers. Perform financial statement analysis, forecasts, legal document review, prepare rating committee materials, produce reports and commentary, refine methodologies, mentor junior analysts, build stakeholder relationships, and represent the firm at industry events while adhering to regulatory and compliance requirements.

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account