About the role

The Data Research Analyst will perform structured finance security mappings and execute daily data quality controls to ensure the accuracy of regulatory datasets. They will also contribute to data governance and AI-ready initiatives by maintaining metadata and collaborating with global stakeholders.

What they look for

Data governance Data quality controls Structured finance Security mappings Microsoft Excel SQL Data lineage Metadata management Regulatory reporting Financial services Data analysis Reconciliation Credit operations Capital markets data AI initiatives

Requirements

Candidates must hold a bachelor's degree in a relevant field such as Business, Finance, or Data Science. The role requires 1–3 years of experience in data operations or financial services, along with strong analytical skills and proficiency in Microsoft Excel.

Benefits

Hybrid work environment

Full description

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 AI‑ready 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 pre‑publication 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 time‑sensitive, high‑quality 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-$69,634.66Incentive 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.

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