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Morningstar DBRS is seeking an experienced structured finance professional to join the Global Structured Finance Cash Flow Analytics team at AVP or VP level in New York. You will independently model complex transactions and contribute to the development of a Python-based cash flow engine and automation initiatives.
You will work with global teams, support multiple asset classes, and mentor junior members while advancing analytical tooling and scalable workflows in a hybrid work environment.
Morningstar DBRS is a leading global credit rating agency dedicated to providing value beyond the rating through independent and objective credit analysis. We are seeking an experienced structured finance professional to join our Global Structured Finance Cash Flow Analytics team at the Assistant Vice President or Vice President level. The Cash Flow Analytics team supports Structured Finance ratings globally, providing transaction‑level cash flow modeling and analytical support across a range of asset classes. This role is designed for an experienced structured finance professional who can independently model complex transactions and also contribute to the development and advancement of the technology used to support that work. We are considering candidates at both the Assistant Vice President and Vice President levels. Final level will be determined based on the successful candidate’s depth and breadth of structured finance experience, demonstrated ability to independently manage complex transactions, technical capabilities, leadership and overall experience relative to the scope of the role.
This is a hands‑on structured finance role with an additional focus on technology and development. You will carry a transaction workload, serving as a key cash flow modeling resource on new‑issue, amendment and surveillance transactions using Intex Dealmaker, Python and other proprietary tools. You will also contribute to strategic development initiatives designed to modernize and scale the team's cash flow analytics capabilities. These include the continued development of a Python‑based cash flow engine, automation of Intex‑supported workflows, and broader efforts to improve the efficiency, consistency and scalability of transaction analysis. Transaction execution remains the primary responsibility of the role. Depending on deal flow and business needs, the balance between transaction work and development projects will vary over time.
Strong knowledge of structured finance concepts, securitization structures and cash flow waterfall mechanics. Demonstrated hands‑on experience building and analyzing cash flow models for structured finance transactions. Ability to independently work through complex or unfamiliar transactions, interpret legal documentation and translate structural provisions into cash flow logic. Experience across one or more structured finance asset classes, such as ABS, CMBS, RMBS, structured credit or other securitized products. Experience within a credit rating agency, trustee, financial institution, accounting/advisory firm or other structured finance environment is preferred.
Strong Python skills, with experience using Python for financial modeling, analytical tooling, workflow automation or software development. Experience with Intex products, particularly Dealmaker and/or other Intex cash flow tools, is strongly preferred. Experience developing applications or wrappers around Intex or other analytical platforms is a plus but is not required. Familiarity with GitHub or other version‑control and collaborative development environments. Understanding of testing, documentation and software‑development practices used to create reliable analytical tools. Experience working with databases and integrating data through Python is preferred. Familiarity with APIs, AWS/S3, front‑end development, NumPy, parallel processing or other performance‑focused development techniques is a plus. Experience using GitHub Copilot or comparable AI‑assisted development tools is a plus, along with an interest in applying AI to analytical and development workflows. Knowledge of Excel, VBA, Confluence and Jira is helpful.
Strong quantitative and analytical abilities with exceptional attention to detail. Ability to manage complex deliverables and transaction deadlines while maintaining analytical accuracy. Strong written and verbal communication skills and the ability to explain complex analytical or technical issues to both technical and non‑technical stakeholders. Ability to work independently while contributing effectively within a global, collaborative team. Demonstrated ability to mentor, review or guide less‑experienced colleagues.
Bachelor’s degree in Finance, Engineering, Mathematics, Computer Science or another quantitative or technical discipline required. A Master’s degree or other advanced qualification is preferred.
Base Salary Compensation Range $113,308.00-178,794.66 Incentive Target Percentage 30% Annual Compensation
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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.
Morningstar DBRS is a leading provider of independent credit rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. We are one of the top four credit rating agencies in the world and a market leader in Canada, the U.S., and Europe in multiple asset classes.
Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.