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

About the position

DBRS Morningstar's Structured Finance Analytics group supports the analytics lifecycle through predictive models and analytical tools, software maintenance, regulatory requests, cash flow analytics, data pipelines, performance insights, infrastructure, and automation. 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. The Analyst supports the Head of Solutions across methodology development, AI initiatives, analytical investigations, and executive presentations. The role calls for an intellectually curious, highly organized candidate able to work across analytics, technology, and business functions. Advanced coding expertise is not required, but comfort with data analysis and technical environments is expected. Experience using generative AI or AI-assisted coding tools to prototype solutions, automate workflows, or test ideas is especially valuable. The successful candidate is expected to quickly learn the nuances of the credit analysis industry.

Responsibilities

  • Support the design, documentation, testing, and maintenance of bespoke analytical methodologies.
  • Help coordinate, test, document, and drive adoption of AI-enabled solutions across Global Structured Finance.
  • 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.

Requirements

  • Bachelor's degree in an analytical discipline.
  • 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.
  • Comfort with data analysis and technical environments; advanced coding expertise is not required.

Nice-to-haves

  • Familiarity with Python, SQL, or other coding languages.
  • Hands-on use of generative AI, AI-assisted coding, prompt design, low-code/no-code, or workflow automation tools.
  • Exposure to project management tools such as Jira or Asana.
  • Exposure to financial services, credit ratings, structured finance, risk analytics, quantitative modeling, or cross-functional AI projects.

Benefits

  • 100% 401(k) match up to 6% of salary.
  • Stock ownership potential.
  • Company-provided life insurance equal to 1x salary plus commission.
  • Comprehensive medical, dental, and vision benefits, including potential premium discounts and company-provided HSA contributions for specific plans and coverages.
  • Additional medical wellness incentives.
  • Company-provided long- and short-term disability insurance.
  • Trust-based time off.
  • Six-week paid sabbatical program.
  • Six-week paid family caregiving leave.
  • Paid parental leave of 8–24 weeks.
  • Adoption assistance.
  • Leadership coaching and formal mentorship opportunities.
  • Annual \$1,000 flex stipend for personal education and well-being expenses.
  • Tuition reimbursement.
  • Charitable matching gifts program.
  • Dollars for Doers volunteer program.
  • Paid volunteering days.
  • 15+ employee resource and affinity groups.
  • Annual incentive target of 10%.
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