About Us
DBRS Morningstar is a global credit ratings business, currently with 700 employees in eight offices globally. 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.
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 2,600 issuers and 54,000 securities worldwide and is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. DBRS Morningstar’s approach and size provide the agility to respond to customers’ needs, while being large enough to provide the necessary expertise and resources.
The team:
DBRS Morningstar is a global credit ratings business, currently with 700 employees in eight offices globally. 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. 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 is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. DBRS Morningstar’s approach and size provide the agility to respond to customers’ needs, while being large enough to provide the necessary expertise and resources.
The Role:
- Building, validating, testing and reviewing of quantitative models (default models, cashflow models, capital models, regression models, time series models) that support our ratings across asset classes of ABS, CMBS, Covered Bond, RMBS, Structured Credit, Corporates.
- Evaluating and enhancing stability, conceptual soundness, assumptions, and mathematical logic of existing models
- Implementing models in an industrial strength language (Python, Spark, DASK etc.) as needed.
- Developing insights on large scale data, performing ad-hoc data cleaning and statistical analysis as needed
- Communicating results to rating analysts, senior management and other key stakeholders
- Developing reports for regulators and other external parties
- Managing, mentoring a team of junior quantitative modelers
Minimum Requirements:
- MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, etc.) with strong project portfolio
- Minimum 3 year of industry experience in quantitative modeling of credit risk
- Strong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence and data mining algorithms
- Strong coding skills, with preference for Python
- Excellent aptitude for application of mathematical and quantitative methods to business problems
- Ability to explain, defend, garner support for and communicate technical and statistical components of models to both internal and external business stakeholders
- Familiarity with Agile software engineering practices
- Intellectual curiosity for the world of quantitative research
Nice to have:
- Experience with modeling financial products and/or securitization
- Experience with SAS/R, SQL, C#, Python, C++
- Experience with distributed data processing ecosystems (Spark, DASK etc.)
- Experience developing using Git or other collaborate workflow systems
- Experience with AWS
- CFA Qualification
How to Apply for a Job at Morningstar
Step 1: When you find a position you’re interested in, click the ‘Apply’ button. Please fill out this form completely, attaching your resume and cover letter in the approved format. Read the job requirements carefully and make sure to attach writing or design samples as required. Applicants must submit their resume and other information through our corporate website to be considered for a job at Morningstar. No phone calls, please.
Step 2: You will receive an email notification to confirm that we’ve received your application.
Step 3: If you are called in for an interview, a representative from Morningstar will contact you to set up a date, time, and location. Be prepared for a rigorous interview process. To make sure you’re a good fit for Morningstar and we’re a good fit for you, we’ll schedule time for you to meet with multiple staff members at all levels of the company. Expect to return for multiple interviews as part of the process. A representative from Morningstar will contact you with the results of your interview—either with a job offer or to let you know our plans for the position.