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 Associate 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.

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.

Job 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.

Qualifications 

Structured Finance Experience 

• 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. 

Technical Skills 

• 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.

Professional Skills 

• 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. 

• For consideration at the Vice President level, candidates should demonstrate greater depth of experience and a proven ability to independently lead highly complex transactions, provide technical or team leadership, and/or develop and implement scalable analytical solutions. 

Education 

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.