Structured Finance Analytics, Methodology & AI Solutions, Analyst

Morningstar

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

Posted 11/10/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $75,182 - $91,849 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytical methodologies, AI-enabled solutions, and quantitative analysis while effectively collaborating across technical and business teams. Proficient in project management and communication, with a strong focus on data-driven decision-making and process improvement.

Highest-signal resume keywords

Analytical MethodologiesGenerative AIPythonProject ManagementStructured Finance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData-Driven Decision-MakingAI-Assisted DevelopmentWorkflow AutomationCredit Analysis

Soft Skills

CommunicationAttention to DetailProject ManagementAnalytical Problem-SolvingRelationship Building

Tools & Technologies

JiraAsanaLow-Code/No-Code ToolsAI-Assisted CodingPrompt Design

Industry Keywords

Financial ServicesCredit RatingsRisk AnalyticsQuantitative ModelingCross-Functional AI Projects

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Support the Head of Solutions across methodology development, AI initiatives, analytical investigations, and executive presentations
Quickly learn nuances of the credit analysis industry

Requirements

What you’ll need

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
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

Benefits

Comp & perks

100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
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
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
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups
Hybrid work environment with regular in-person collaboration
Flexible benefits to enhance flexibility as needs change