The Group:
The Structured Finance Analytics group (SFA) covers a wide range of analytic products supporting the Global Structured Finance group (GSF). This includes the development and maintenance of quantitative rating methodologies, cash flow analytics on live transactions. data analytics and strategy, and work on a variety of high-value strategic projects across DBRS.
The SFA Solutions group sits with the SFA group, with a mission statement to “Forge strong connections, enhance efficiency, and elevate visibility to empower GSF to achieve outstanding results”. The team’s responsibilities include:
Acting as a central point of contact for the SFA organization, coordinating across teams and developing solutions for cross-disciplinary projects
Project intake and Prioritization for all GSF projects, supporting all asset classes, including RMBS, CMBS, ABS, Structured Credit, and Esoteric products
Analytical guidance and quantitative development work for methodology development projects, especially to support DBRS’s expansion into new product areas
Liaise with our Methodology Review function and provide strategic counsel for methodology discussions
Serve as a cross-disciplinary knowledge base across core competency concepts, including analytics, credit, project management, and technology
The Role:
The SFA Solutions team is seeking a Python developer to focus on data analysis and the development of predictive algorithms for assets across the Structured Finance space, as well as provide support on a variety of ad hoc projects for the Global Structured Finance organization. Finance experience is preferred, but you will be offered extensive training in the credit rating analytics and securitization modeling ecosystem.
This senior analyst-level role reports to the Senior Vice President who leads the Solutions team. You will be expected to help mentor other junior analysts, especially to help guide in best practices for coding and version control.
Job Responsibilities:
Perform analysis of Structured Finance products and develop rating tools, with coverage across all asset classes, and to create relevant technical documentation to support these tools
Establish relationships with a diverse group of stakeholders to understand their workflow needs and develop automated solutions
Develop ‘Lite’ user interfaces and visualization dashboards to help communication between technical and non-technical teams
Help to establish code documentation ‘best practices’ and generate a sustainable software development workflow environment
Requirements:
Bachelor’s degree in computer science, engineering, data analytics, math, or other analytical field
2-5 years of full-time work experience
Strong Python ability, with emphasis on efficient, well-documented code
Familiarity with Git and/or related version control systems
Quick learner, with the desire to expand knowledge about the Credit business
Ability to collaborate with in a team environment and communicate clearly with technical and non-technical audiences
Strong organizational skills and the ability to shift from task to task
Nice to Have:
Experience with Dash, R-Shiny, Tableau, or other visualization systems
Experience with SQL
Knowledge of statistical methods and modeling practices
We are not considering candidates who require sponsorship now or in the future; employment eligibility to work in the U.S. is required
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.
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide-range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Base Salary Compensation Range
$90,000.00 - 120,000.00 USD AnnualIncentive Target Percentage
15% AnnualIf you receive 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 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.
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