Quantitative Finance Leader
5 days ago
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.
Our Approach
Morningstar DBRS empowers investor success by bringing more transparency and diversity of opinion in the credit rating industry. Our approach allows 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.
The Role
We are seeking a Lead Quantitative Analyst to join our Structured Finance Analytics team. As a key member of the team, 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.
Your 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).
- 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.
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.
- Familiarity with AWS infrastructure is considered an added advantage.
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