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

• Develop, maintain and run cash flow models for structured finance transactions using Intex Dealmaker, Python and other proprietary platforms
• 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
• Perform cash flow tie-outs and reconcile issuer-provided assumptions and model outputs to Morningstar DBRS methodologies and analytical expectations
• Work with Ratings Analysts and senior team members to analyze transaction results, identify structural considerations and communicate findings
• Contribute to development, testing and enhancement of the Python-based cash flow platform
• Support tools that automate Intex-supported cash flow workflows, including surveillance and multi-transaction analysis
• Improve analytical tooling through testing, documentation, version control and collaborative development
• Use Python and other technologies to improve workflows, integrate data sources and streamline repetitive processes
• Participate in AI and automation initiatives
• Partner with global Cash Flow Analytics and Structured Finance teams to support business needs and expansion into new asset classes
• Provide review, guidance and informal training to junior team members
• Carry a transaction workload; transaction execution remains the primary responsibility

• 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
• Strong Python skills, with experience using Python for financial modeling, analytical tooling, workflow automation or software development
• Familiarity with Git Hub or other version-control and collaborative development environments
• Understanding of testing, documentation and software-development practices used to create reliable analytical tools
• 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 ability to explain complex analytical or technical issues to 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

Demonstrates strong expertise in structured finance concepts and cash flow modeling, utilizing Python for financial analysis and workflow automation. Capable of interpreting complex transaction documents and providing mentorship to junior team members while managing multiple deliverables effectively.

• Structured Finance Knowledge
• Cash Flow Modeling
• Python Programming
• Analytical Tool Development
• Transaction Execution

• Cash Flow Modeling
• Structured Finance Concepts
• Securitization Structures
• Waterfall Mechanics
• Quantitative Analysis
• Financial Modeling
• Workflow Automation
• Analytical Tooling
• Version Control
• Documentation Practices

• Attention to Detail
• Written Communication
• Verbal Communication
• Mentoring
• Collaboration

• ABS
• CMBS
• RMBS
• Structured Credit
• Securitized Products

• Intex Dealmaker
• Python
• Git Hub
• Morningstar DBRS
• AI Tools