The Team:

Structured Credit, within Structured Finance sector provides credit ratings of structured products that are backed by pools of assets, mainly focused on Collateralized Loan Obligation (CLO) transactions. You will report to the Analytical Manager, Structured Finance and be working closely with several highly experienced industry specialists. The team is comprised of 20 analysts based out of London, Paris and Frankfurt offices.

The Impact:

S&P Global Ratings is delighted to have been named the "Rating Agency of the Year" in Global Capital's European Securitization Awards 2023. The successful applicant will enhance our ability to effectively serve our clients by demonstrating outstanding analytical excellence and the capacity to provide relevant, insightful, and compelling analysis. You will have responsibility for helping the undertaking of the analysis for the Structured Credit team.

What you stand to Gain:

You will get to work in a dynamic yet collegial team environment and work with a team of professional specialists. You can deepen and broaden your insight and knowledge in one of the leading credit ratings’ companies in the world. Analysts who excel in this role will have opportunities to work across other asset classes, assume greater account and project lead responsibilities, and advance into more senior analytical roles.

Structured finance is an important sector of the capital markets and is a key funding source and growth driver for many areas of the economy. You will be exposed to CLO, SME, repack structure. The role offers great potential for professional development and career growth and a possibility to participate to the Company Data Science initiatives.

Responsibilities:

• Be the primary analytical contact for bankers, issuers and investors to resolve any analytical inquiries that may arise during the rating process.
• You’ll have ownership of a portfolio of predominantly CLO credits.
• Review documents, consider the legal dimensions of transaction structures, develop an understanding of and apply relevant rating criteria, assess the credit profile of collateral pools, work with financial and cash flow models to stress test the structures and enhancement levels under various economic scenarios.
• Independently preparing and presenting analysis and recommendations to credit committees.
• Assisting the preparation and presentation of analysis by a senior team member and recommendations to credit committees
• Conducting analyses on complicated SF transactions with appropriate risk factor identification, measurement, and presentation
• Acting proactive member in ratings committees and in the team
• Working closely with analysts to provide research and analysis for the Structured Finance team.
• Review and run cash flow models.
• Analyse data and review documentation for the analytical team
• Undertake research in support of S&P Global Ratings published commentaries.
• Understand and implement S&P’s Policies
• Take the lead on special projects within the Structured Finance as appropriate.

What We’re Looking For:

• Degree in Engineer, Mathematics, Physics, Business, Finance, Economics, or a related subject/Pursuing post graduate studies/CFA
• A S&P employee at this level typically has 3-6 years’ experience in Securitization and/or CLO or credit analysis or related analytical fields.
• Strong interpersonal and communication skills
• Good attention to detail
• Demonstrable analytical work experience in the financial services industry and good numerical skills, and an ability to synthesize and interpret large volumes of data.
• Comfortable with quantitative analysis and have a knack for problem solving.
• Solid analytical capability, team player and has good time management skills.
• Able to multi-task and meet projects with a tight time frame.
• Self-starter and proactive attitude and effective team player.
• Ability to work under tight deadlines in a fast-changing, global and regulated environment.
• Strong verbal and written communication skills
• Fluent in English and good writing skills to prepare professional analyses and reports.
• Good/advanced knowledge of Python and/or R is a distinctive advantage.