Structured Finance Analytics, Methodology & AI Solutions, Analyst - New York

Morningstar DBRS; New York (NY); Hybrid; USD 75,000 - 92,000; Full time

Benefits offered by this job

401k match

Stock ownership potential

Company-provided life insurance - 1x (

Health benefits

Wellness incentives

Disability insurance

Sabbatical

Parental leave

Mentorship opportunities

Flex stipend

Job summary

Morningstar DBRS seeks an Analyst for Structured Finance Analytics in New York. You will support methodology development, AI initiatives, analytical investigations, and executive presentations, bridging analytics, technology, and business teams.

The role suits an intellectually curious, highly organized candidate capable of working across analytics, technology, and business functions. AI-assisted tools and data analysis experience are valued; familiarity with Python or SQL is a plus.

Qualifications

• Bachelor's degree in an analytical discipline and 0-3 years of relevant professional experience.
• Strong organization, project management, analytical problem-solving, communication, and attention to detail.
• Ability to balance multiple priorities and build effective relationships across technical and business teams.
• Curiosity about AI, data-driven decision-making, structured finance, analytical methodologies, and software development lifecycles.
• Familiarity with Python, SQL, or other coding languages a plus.
• Hands-on use of generative AI, AI-assisted coding, prompt design, low-code/no-code, or workflow automation tools a plus.
• Exposure to project management tools like Jira or Asana a plus.
• Exposure to financial services, credit ratings, structured finance, risk analytics, quantitative modeling, or cross-functional AI projects a plus.

Responsibilities

• Support the design, documentation, testing, and maintenance of bespoke analytical methodologies.
• Help coordinate, test, document, and drive adoption of AI-enabled solutions across GSF.
• Use generative AI and AI-assisted development tools to prototype practical solutions and automate repeatable tasks with appropriate review and oversight.
• Create executive-ready dashboards, visualizations, presentations, and quantitative analyses.
• Partner across analytical, technology, business, and governance functions to improve processes and decision-making.

Skills

Python

SQL

Generative AI

Data analysis

Jira

Asana

AI tooling

Stakeholder mgmt

Education

Bachelor's degree in analytical discipline

Tools

Jira

Asana

Job description

Structured Finance Analytics, Methodology & AI Solutions, Analyst - New York

DBRS Morningstar's Structured Finance Analytics group (SFA) supports the analytics lifecycle through predictive models and analytical tools, software maintenance, regulatory requests, cash flow analytics, data pipelines, performance insights, infrastructure, and automation. Within SFA, the Solutions team coordinates project flow, develops analytical methodologies, performs quantitative consulting and investigations, coordinates model and tool review with the Methodology Review Function, and supports AI-enabled solutions across Global Structured Finance (GSF).

The Analyst will support the Head of Solutions across methodology development, AI initiatives, analytical investigations, and executive presentations. The role suits an intellectually curious, highly organized candidate who can work across analytics, technology, and business functions. Advanced coding expertise is not required, but candidates should be comfortable with data analysis and technical environments. Experience using generative AI or AI-assisted coding tools to prototype solutions, automate workflows, or test ideas is especially valuable. We cover many topics, and you are expected to quickly learn nuances of the credit analysis industry.

Job Responsibilities:

• Support the design, documentation, testing, and maintenance of bespoke analytical methodologies.


• Help coordinate, test, document, and drive adoption of AI-enabled solutions across GSF.


• Use generative AI and AI-assisted development tools to prototype practical solutions and automate repeatable tasks with appropriate review and oversight.


• Create executive-ready dashboards, visualizations, presentations, and quantitative analyses.


• Partner across analytical, technology, business, and governance functions to improve processes and decision-making.

Qualifications:

• Bachelor's degree in an analytical discipline and 0-3 years of relevant professional experience.


• Strong organization, project management, analytical problem-solving, communication, and attention to detail.


• Ability to balance multiple priorities and build effective relationships across technical and business teams.


• Curiosity about AI, data-driven decision-making, structured finance, analytical methodologies, and software development lifecycles.


• Familiarity with Python, SQL, or other coding languages a plus.


• Hands-on use of generative AI, AI-assisted coding, prompt design, low-code/no-code, or workflow automation tools a plus.


• Exposure to project management tools like Jira or Asana a plus.


• Exposure to financial services, credit ratings, structured finance, risk analytics, quantitative modeling, or cross-functional AI projects a plus.

About Us

Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world.

Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.

Morningstar DBRS is the next generation of credit ratings.

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 plansand coverages
  
  
  • Additional medical Wellness Incentives - up to $300-$600 annual
  
  
  • Company-provided long- and short-termdisabilityinsurance
  
  
  
  


• 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 & FormalMentorshipOpportunities
  
  
  • 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
  
  
  
  

Base Salary Compensation Range

$75,182.00-$91,848.66

Incentive Target Percentage

10% Annual

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

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.