About The Role
Senior Analyst to support analytics and research functions for the U.S. Structured Credit (US SC) ratings business.
US SC assigns ratings, monitors ratings, develops research and maintains rating methodologies for US collateralized loan obligations (CLOs), investment funds, and bespoke structured credit transactions.
Job Responsibilities
- Assist in the review, maintenance, and enhancement of existing rating methodologies and development of new rating methodologies
- Support full maintenance and development cycle for Python-based rating models (debug, peer review, testing, deployment, version control, API endpoints)
- Collaborate with independent review function to ensure the development process follows internal guidelines and policies & procedures
- Maintain library of documentation for all US SC rating models
- Support quantitative foundation for methodologies and research (data collection & standardization, analytics & visualization, documentation)
- Assist in research to generate topics and collaborate with senior US SC analysts to provide market insights
- Maintain relationship with internal publishing coordinator to produce and disseminate research content
- Monitor industry research & commentary and provide summaries for the US SC team
- Power user in both excel and web-based workflows for all US SC rating models. Articulate assumptions and applications & provide walk-throughs for internal and external users.
- Train analysts (including non-US SC rating teams) on structured credit transaction analytics and rating methodologies
- Assist with transaction analytics for new issue and surveillance ratings
- Support ratings administration including rating committee memos, record retention and regulatory workflows
Qualifications
- Bachelor’s degree in a subject such as finance, physics, mathematics, engineering, economics or similar quantitative discipline
- Knowledge of the Python programming language
- Basic understanding of structured finance transactions
- Advanced knowledge and practical skills in using Microsoft Excel, Word, PowerPoint and Outlook
- Excellent written and oral communication skills
- Demonstrate analytical abilities with a high attention to detail
- Willingness and ability to learn new analytical approaches proactively
- Self-starter with ability to prioritize and complete critical work quickly, independently and with a sense of urgency
- Team player with strong interpersonal skills
Nice to Have
- Familiarity with CLOs and private credit
- Proficiency with the Python data science stack (Jupyter, numpy, pandas, plotly)
- Structured finance cashflow analysis
- Work experience within a regulated industry
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
- 75% 401k match up to 7%
- 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 Leave & Paternity Leave
- Adoption Assistance
- Leadership Coaching & Formal Mentorship Opportunities
- Annual Education Stipend
- 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
$90,000.00 - $117,000.00
Bonus Target %
15
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Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days 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.
