Senior Quantitative Developer

The Team: DBRS Morningstar (DBRSM) 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:
As a quantitative developer you will work closely with analysts on our Quantitative Credit Modeling team to develop, implement and document methodologies for analyzing and rating structured finance securities. You will also guide us in defining the technical architecture, design, and platform best suited for our quantitative credit rating algorithms, while partnering with the enterprise technology teams. A successful candidate will demonstrate knowledge of the full life cycle of a credit model from data ETL to model construction.

Responsibilities
• Build and deploy applications build on Python and AWS cloud infrastructure working closely with quantitative analysts to determine application requirements

• Clearly document system and functional specifications of the existing tools currently used by DBRSM ratings analyst and recode when necessary by maintaining a robust development environment via strong documentation and version control.
• Assist in the transition of research products from the prototype phase to fully-fledged, scalable, and integrable into existing platforms of financial products, such as the tools in DBRSM analytics Portal and/or Ratings Engine etc.
• Develop, test, document and maintain unified model development library functions that incorporate numerical techniques such as machine learning, statistic models, visualization and validation functionalities.
• Collaborate with the other quantitative researchers to build out automated data pipelines which can be used throughout the organization
 

Minimum Requirements
• A bachelor’s degree in Computer Science or a related field (Masters or higher is desirable)
• Minimum 4 years of experience with Python (pandas, scikit-learn, numpy)
• Interest and prior knowledge about APIs and microservices hosted in the cloud
• Experience with DevOps tools (e.g. Splunk, Git, uDeploy, Jenkins, Control-M
• Experience with Agile software engineering practices
• Experience with Big Data (Spark, Dask, Athena, BigQuery, etc.)
• Experience with UNIX/Linux including basic commands and shell scripting would be a plus

• Possesses strong technical development skills, an ability to follow analyst requirements and technical specifications for robust code
 

Preferred Requirements

• Familiarity with scalable data cleaning and manipulation techniques
• Familiarity with information visualization
• Familiarity with structured credit securities
• Intellectual curiosity for the world of quantitative research

Morningstar is an equal opportunity employer.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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.