Assistant Vice President / Vice President, Structured Finance Cash Flow Analytics & Development
$113.31k - $178.79kMorningstar
About Us
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.
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
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.
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.
Base Salary Compensation Range
$113,308.00-178,794.66
Incentive Target Percentage
30% Annual
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Emotional Health
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
Tuition Reimbursement
Social Health
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups
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.
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