Associate Quantitative Analyst

Structured Finance (SF) Associate Quant Analyst (Mumbai)

The Team: DBRS Morningstar is a global credit ratings business with about 800 employees in eight offices globally. Formed through the acquisition of DBRS by Morningstar, Inc., the credit ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology, and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar rates more than 4,000 issuers and 56,000 securities worldwide, and is driven to bring more clarity, diversity, and responsiveness to the ratings process.

Visit: https://www.dbrsmorningstar.com/learn/dbrsmorningstar to learn more.

Credit Operations Mumbai Analytics team enables and supports the efficient and effective delivery of credit ratings/information to the market with its specialized skills and assets, consistent frameworks, and economies of scale. We collaborate with stakeholders to build creative, impactful solutions and offer services for the business and the market.

About the Role: DBRS Morningstar Structured Finance team is looking for candidate with good problem solving, analytical & technical mindset. As an Associate Quant Analyst, you will work with team to automate data analysis processes to include document downloads, data storage, build and run data analytics to aid rating, research, and surveillance process, develop and enhance data analysis and workflow optimization tools; assist with special projects/initiatives, as needed. Proficiency in Python, SQL and VBA will be needed. This role will provide unique opportunities for mastering the key aspects of our business including in-depth collateral and deal analysis. This position is based in our Navi Mumbai office.

Responsibilities

• Work directly with Internal & external team to deliver projects and services.

• Perform, when possible, quantitative analysis in order to measure outcomes.

• Assist the team with transforming, improving and integrating data, depending on the business requirements.

• Combining the data result sets across multiple sources