VP, Structured Finance Cash Flow Analytics & Development

Morningstar Credit Ratings, LLC; New York (NY); On-site; USD 113,000 - 179,000; Full time

Benefits offered by this job

401k match up to 6%

Stock ownership potential

Comprehensive health benefits

Sabbatical program

Job summary

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.

Qualifications

• Strong knowledge of structured finance concepts and cash flow waterfall mechanics.
• Hands-on experience building and analyzing cash flow models for structured finance transactions.
• Ability to interpret legal documentation and translate provisions into cash flow logic.

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 into accurate cash flow models.
• Model bespoke and complex transactions, including non-standard structures, for new-issue, amendment and surveillance work.
• Perform cash flow tie-outs and reconcile issuer-provided assumptions with Morningstar DBRS methodologies.
• Collaborate with Ratings Analysts to analyze results and communicate findings.

Skills

Analytical ability

Attention to detail

Communication skills

Mentoring

Education

Bachelor's degree in Finance, Engineering, Math, CS

Master's degree preferred

Tools

Intex Dealmaker

Python

GitHub

Excel

Jira

AWS/S3

NumPy

Job description

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.