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Job Title: Quantitative Analyst, Credit Quant Technology
About the Team:
Morningstar DBRS Credit Ratings, LLC is registered with the U.S. Securities and Exchange Commission as a nationally recognized statistical rating organization (NRSRO). Morningstar DBRS Credit Ratings issues credit ratings on a variety of security types including corporate and structured finance securities. This Morningstar subsidiary aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and tools.
Morningstar DBRS is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the 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 is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. Morningstar DBRS approach and size provide the agility to respond to customers’ needs, while being large enough to provide the necessary expertise and resources.
The Role:
As a Quantitative Analyst you will execute proprietary research pertaining to various types of credit rating models, such as default models, cashflow models, capital models, regression models covering asset classes of RMBS, ABS, CMBS, Covered Bond, Structured Credit, Corporates, Financial Institutions and Sovereigns. The Credit Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace.
You will be involved in development of model frameworks from prototype phase to a fully-fledged, scalable, and client-facing service. These leverage deep principles of Statistical, Machine Learning, AI and built on massive amounts of Financial datasets. Often, these services must be integrated into Morningstar’s platform of financial products, such as Direct, so that our clients can use these software tools in the investment decision-making process. We are looking for an individual who possesses strong Econometric knowledge coupled with technical skills and leverage them to build efficient model verification frameworks for evolving FinTech solutions. Alongside the person should have a passion for investment research.
This position reports to the Associate Director, Quantitative Research of the Quantitative Technology team.
Responsibilities:
- Build methodologies to identify discrepancies in Statistical Models.
- Checking stability, conceptual soundness, model assumptions, mathematical, statistical logic, etc.
- Liaise between business, technical and modeling teams, senior management, and internal review function to build efficient model verification frameworks.
- Develop codes in Python to support Data & Model validation. Automate process to reduce human intervention.
- Analyze performance issues in data, analytical layer and assist with performance tuning.
Requirements:
- Minimum of 2-3 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.
- Knowledge and proficiency in a programming language (Python and packages as Numpy, Pandas, Scipy).
- Familiarity with AWS infrastructure is considered an added advantage.
- Experience working with large data/Data Warehouses.
- Familiarity fixed income.
Morningstar DBRS is an equal opportunity employer.