Lead Quantitative Analyst, Credit Ratings

Lead Quantitative Analyst, Structured Finance Analytics (Mumbai)

The Team: Morningstar DBRS 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. Morningstar DBRS is committed to empowering investor success, serving the market through leading-edge technology, and raising the bar for the industry. Morningstar DBRS is a market leader in Canada, the U.S. and Europe in multiple asset classes. Morningstar DBRS 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: Morningstar DBRS Structured Finance Analytics team is looking for candidate with good problem solving, analytical & technical mindset. As a Lead Quant Analyst, you will be responsible for managing a team of offshore Quant Analysts providing support on automating data analysis processes, building and running data analytics to aid rating, research, and surveillance process, developing and enhancing data analysis, data visualization and workflow optimization tools. We are looking for an individual having strong understanding of Structured Finance products (RMBS, ABS, CMBS etc.,) coupled with technical skills and leverage them to build efficient technical infrastructure for evolving FinTech solutions. Expertise in Python, Tableau, AWS, Athena, SQL and VBA will be needed. This position is based in our Navi Mumbai office and work shift will be EMEA.

Responsibilities

• Manage and mentor a team of 6-8 Quant Analyst, providing guidance on technological enhancement and fostering a collaborative work environment.
• Managing work priorities of the team including quality & timeliness of delivery schedules, periodic reporting on work performance, project reporting and interact regularly with onshore team
• Lead and mentor the team on critical processes to achieve the business goals
• Maintain regular and open communication with the Global Structured Finance Analytics team and Credit Technology team about assigned tasks, priorities and ensure applications under development meet the defined requirements and pass the UAT prior to its release.
• Lead the team with transforming, improving and integrating data, depending on the business requirements
• Understand core concepts around data storage and access specifically in structured data systems such as databases (SQL, Athena, AWS S3)
• Understand the domain and implement quick fix solutions to align the development activities with dynamic business needs
• 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
• Highly organized and efficient, with ability to multi-task and meet tight deadlines
• Ensure compliance with regulatory and company policies and procedures

Requirements

• Minimum of 9-11 years of relevant experience working in Credit Modeling / Model Validation roles.
• Qualifications: MBA (Finance)/BTech/PHD (Math) from a Tier I college.
• Knowledge of finance, statistics, behavioral sciences.
• Strong Analytical skills. Experience with large databases / datasets preferred.
• Expertise in Python / Anaconda, Data science stack (Jupyter, Pandas, NumPy), Tableau, Microsoft Excel and MSSQL
• Experience with SAS/R is a plus
• Familiarity with AWS infrastructure is considered an added advantage.
• Ability to manage multiple tasks at the same time and deliver results in a timely manner

Morningstar DBRS is an equal opportunity employer.

About Us

Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world.

Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.

Morningstar DBRS is the next generation of credit ratings.

If you received and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days 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.