Associate Director - Structured Finance, Novel Transactions - Cross Practice Analytical Team (CPAT)
S&P GlobalAbout the role
About the Role:
Grade Level (for internal use):
12About the Role/The Team:
This role presents an opportunity to contribute to a team at the forefront of ratings innovation. Financial markets are constantly evolving, and S&P is creating a team to ensure we can provide our credit opinions in a timely fashion on new and innovative structures and risks. Primary focus area is Fund Finance / Structured Finance. Within the context of novel transactions, the team will be responsible for market engagement and education, executing on new rating engagements and publishing research.
Responsibilities and Impact:
In this role, analysts have an opportunity to leverage their existing expertise while being exposed to new sectors. They’ll be responsible for acting as a primary analyst on new engagements and leveraging their sector experience in the analysis of other engagements. They’ll also spend time in a range of pre-engagement discussions to provide market education and discuss the rating feasibility of new and innovative structures. The successful candidate will be a key contributor to a new team in support of a key strategic priority for Ratings and will be challenged to add competencies & skills from sectors outside of their areas of expertise to build a broad knowledge of assets, markets & structures.
- Perform rigorous analytical work, research, fundamental credit analysis and writing of analytical reports on cross-practice transactions.
- Interact with market participants to educate external stakeholders about S&P’s analytical approaches and assess analytical proposals on novel structures and presentation of analytical findings to internal and external constituencies.
- Collaborate with analytic teams from different practices & regions to provide rating solutions for complex & esoteric transactions.
- Complete the end-to-end ratings process for new issue and surveillance transactions.
- Perform cash flow analysis, synthesize results, and present findings in a timely manner in committees
- Review legal and operating documents to ensure consistency with criteria and identify issues with the transaction structure. Provide comments to external parties.
- Actively manage relationships with internal and external clients.
- Demonstrate strong knowledge of ratings criteria cross practice and be able to handle clients’ analytical questions.
- Actively contribute to our training and outreach efforts, including the completion of timely commentaries, podcasts, and webinars.
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $120,400.00 to $180,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses, and certifications.
What We’re Looking For:
Basic Required Qualifications:
- A bachelor’s degree in; Business, Economics, Information Technology, or a related field of analytical studies
- An S&P Global employee at this level would typically have 3-5 years of relevant experience.
- Financial Institutions and Structured finance industry experience focusing on ABS or credit analysis experience in funds finance within the financial services industry, including banking.
- Comfort considering relative creditworthiness outside of a typical criteria context
- The ability to consider new asset and structural risks in the context of our rating principles
- Diligent and intellectually curious self-starter with a strong work ethic and a drive to succeed.
- Strong proficiency with Excel, financial models, and financial data.
- Strong understanding of financial markets and their relationship to S&P products.
- Excellent verbal and written communication skills.
- Ability to analyze and solve non-routine problems in a timely and insightful manner.
- Ability to multi-task and manage deadlines under time pressure.
- Strong interpersonal skills and ability to work well in a collaborative team.
- Excellent research skills
- Experience with cash flow modeling for esoteric assets, including triple net, data centers, private equity, transportation ABS
Preferred Qualifications:
- Knowledge of cash flow modeling and programming languages (e.g. C++, MATLAB, Python, R or VBA) and strong Excel skills.
- Prior experience with data analysis and cash flows
Right to Work Requirements:
This role is limited to persons with
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