We are looking for problem solvers, analytical thinkers, and solution initiators to focus on extant asset-backed securities (ABS) transactions. This role will provide unique opportunities to learn and exposure to more than 40 segments of the ABS market as well as gaining expertise in computational and automation based processes. You will be part of a team responsible for maintaining the ratings and taking rating actions on ABS securitized assets such as auto loans, equipment leases, aircraft leases, marine containers, and many others. The analyst selected will become an expert in surveilling a diverse portfolio of ABS sectors. Upon performing a deep dive, the analyst will formulate a memo summarizing the transaction and including cogent rationale for each proposed rating. What You'll Do • Develop a strong understanding of structured finance principles, credit analysis, and ABS market fundamentals through formal training and hands-on transaction surveillance. • Complete the team's credit training program and, upon completion, assume responsibility for monitoring an assigned portfolio of ABS transactions. • Analyze collateral performance and transaction data to identify trends, assess credit risk, and support rating recommendations. • Prepare analytical materials and contribute to rating committees by presenting findings and supporting rating decisions. • Assist in the development of sector-specific research and market commentary to support industry insights and surveillance activities. • Build and maintain databases, perform data validation, analyze large datasets, and support enhancements to automation tools and analytical processes. Required Qualifications • Bachelor's degree in Finance, Mathematics, Engineering, Economics, or a related quantitative discipline. • Strong quantitative, analytical, and writing skills. • Strong verbal and written communication skills with the ability to present complex concepts clearly. • Intellectual curiosity and a desire to learn structured finance and credit analysis. • Ability to work independently while collaborating effectively within a team environment. • Strong attention to detail and the ability to manage multiple priorities. Preferred Qualifications • Prior internship or professional experience in structured finance, credit analysis, financial services, data analytics, or a related field. • Experience analyzing large datasets and drawing well-supported conclusions. • Familiarity with database tools, data querying, or analytical programming languages such as Python, SQL, R, or similar technologies is a nice to have. • Interest in process improvement, automation, and developing tools that enhance analytical efficiency. 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.