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
- Understand core concepts around data storage and access specifically in structured data systems such as databases (SQL, Athena, AWS S3)
- Develop and maintain API’s to integrate internal and external data sources.
- Participate actively in the design and build phases, to aim at producing high quality deliverables.
- Have a mindset to bring about process efficiencies and ideate automations
- Collect, organize, and study data from internal and external sources for use in criteria development, ratings, and research reports.
- Take ownership of the tasks with focus on quality and accuracy of the deliverables
- Demonstrate strong learning curve
- Highly organized and efficient, with ability to multi-task and meet tight deadlines
- Ensure compliance with regulatory and company policies and procedures
Requirements:
- Bachelor’s degree in Engineering or other quantitative discipline, Economics, Finance or Management Studies.
- Masters, CFA or CFA program enrollment are a plus
- 2-3 years of experience working with financial products using Python.
- Proficiency in Python / Anaconda, Data science stack (Jupyter, Pandas, NumPy), Microsoft Excel, Visual Basic for Applications (VBA) and MSSQL.
- Proficiency in object-oriented programming is a plus.
- Strong attention to detail and accuracy
- Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic
- Ability to manage multiple tasks at the same time and deliver results in a timely manner
- Good inter-personal skills and ability to participate/ contribute as a team player
