Job Description – Business Analyst

About the Company

Morningstar DBRS is a leading provider of independent credit rating services and research for corporate and sovereign entities, financial institutions, and structured finance instruments worldwide. The organization has approximately 700 employees across eight global offices.

Following the acquisition of DBRS by Morningstar, Inc. in July 2019, Morningstar DBRS became the fourth-largest credit rating provider globally.

The company is committed to supporting investor success through innovative technology, independent research, and reliable credit rating services. It has a strong market presence across Canada, the United States, and Europe, covering multiple asset classes.

Morningstar DBRS provides credit ratings for more than 4,000 issuers and 60,000 securities worldwide, focusing on transparency, diverse perspectives, and efficiency in the credit rating process.

About the Role

The Structured Finance Analytics team at Morningstar DBRS is seeking an analytical and technically skilled Business Analyst with strong problem-solving abilities. The selected candidate will work on automating data analysis processes, including document downloads, data storage, and analytical workflows that support credit ratings, research, and surveillance activities.

The role involves developing and improving data analysis tools, optimizing workflows, and contributing to special projects and business initiatives. Candidates should have practical knowledge of Python, Tableau, SQL, and VBA.

This position offers an opportunity to gain in-depth knowledge of structured finance, collateral analysis, and financial deal evaluation.

Location: Navi Mumbai

Roles and Responsibilities

Collaborate with Associate Quantitative Analysts to deliver assigned projects and analytical services.
Transform, improve, and integrate data based on business requirements and operational needs.
Combine and consolidate datasets obtained from multiple internal and external sources.
Understand data storage and retrieval concepts, particularly structured database systems such as SQL, Amazon Athena, and AWS S3.
Actively participate in the design and development phases to deliver high-quality analytical solutions.
Identify opportunities to improve operational efficiency through process optimization and automation.
Collect, organize, and analyze data from various sources to support rating criteria development, credit ratings, and research reports.
Take ownership of assigned responsibilities while maintaining accuracy, consistency, and quality in deliverables.
Demonstrate a strong willingness to learn new technologies, tools, and business processes.
Manage multiple assignments efficiently while meeting strict deadlines.
Ensure compliance with applicable regulatory requirements and organizational policies and procedures.

Educational Qualifications

Bachelor's degree in Engineering, Finance, Management Studies, or another quantitative discipline.
Master's degree or postgraduate enrollment in Data Analytics or Data Science programs will be an added advantage.

Experience Requirements

1–2 years of experience working with financial products and Python-based analytical solutions.

Required Skills and Competencies

Proficiency in Python and Anaconda for data analysis and automation.
Knowledge of data science libraries and tools, including Jupyter Notebook, Pandas, and NumPy.
Hands-on experience with Tableau for data visualization and reporting.
Strong knowledge of Microsoft Excel and Visual Basic for Applications (VBA).
Proficiency in Microsoft SQL Server (MSSQL) and SQL queries.
Understanding of object-oriented programming concepts will be an added advantage.
Strong analytical thinking, problem-solving abilities, and attention to detail.
Ability to work independently with a positive attitude, strong motivation, and willingness to learn.
Capability to manage multiple tasks and deliver quality results within deadlines.
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