Assistant Vice President / Vice President, Structured Finance Cash Flow Analytics & Development

About the role

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 Associate Vice President or Vice President level.

Responsibilities

• Develop, maintain and run cash flow models for structured finance transactions using Intex Dealmaker, Python and other proprietary platforms.
• Independently interpret transaction documents and translate complex waterfall mechanics, triggers, shortfalls, loss allocations and structural features into accurate cash flow models.
• Model bespoke and complex new-issue, amendment and surveillance transactions, including structures or asset classes where standardized approaches may not apply.
• Perform cash flow tie-outs and reconcile issuer-provided assumptions and model outputs to Morningstar DBRS methodologies and analytical expectations.
• Work closely with Ratings Analysts and senior team members to analyze transaction results, identify key structural considerations and communicate findings clearly.
• Contribute to the continued development, testing and enhancement of the team's Python-based cash flow platform, helping create scalable and reusable solutions for structured finance analysis.
• Support the development and industrialization of tools that automate Intex-supported cash flow workflows, including surveillance processes and multi-transaction analysis.
• Help improve the quality, reliability and scalability of analytical tooling through testing, documentation, version control and collaborative development practices.
• Use Python and other technologies to improve existing workflows, integrate data sources and streamline repetitive or manual analytical processes.
• Participate in the team's broader AI and automation initiatives, identifying opportunities to responsibly incorporate AI-assisted development and workflow improvements.
• Partner with colleagues across the global Cash Flow Analytics and Structured Finance teams to support evolving business needs and expansion into new asset classes.
• Provide review, guidance and informal training to junior team members and contribute to consistent analytical and technical practices across the team.

Requirements

• 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.
• 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.

Qualifications

• 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.