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S&P Global Research Assistant in Dublin 2, Ireland


Research Assistant

The Location:


The Team:

The team assigns corporate credit ratings to companies in the Consumer Products and Healthcare sectors. Analysts are currently located in London, Paris, Milan, Madrid and Dublin, with rated issuers spread widely across EMEA. The team rates about 150 corporate issuers, with about 15-20 new issuers receiving a rating in each year of the past two. Leveraged finance accounts for about 80% of new rating activity at present.

The Impact:

An individual in this role will be a key contributor to rating surveillance and new rating assignments, covering all aspects of rating analysis and many aspects of day-to-day client communication. Leveraged finance focus will be essential, including analysis of leveraged capital structures and documentation.

What s in it for you:

A Research Assistant in the S&P Global Corporate Rating business typically assumes a pro-active credit rating surveillance role, working closely with senior analysts. A Rating Analyst would also work on assigning new ratings as required. Working environment puts emphasis on teamwork and analytical collaboration, as well as detailed documentation of all aspects of analysis and publication of ratings. Strong communication skills are essential for internal discussions of ratings, as well as external publishing and presentations.


The role is an essential step towards taking responsibility over a full portfolio of corporate ratings. Responsibilities include:*

Analysing financial and business data received directly from rated companies, as well as from industry sources,

Conducting a detailed analysis of the companies ability to service debt, as well as drafting market publications,

Supporting the team s sector research and market outreach activities.

What We re Looking For:

Applicants must have a strong academic foundation and some work experience in at least one of the following:*

(1) Accounting (preferred)

(2) Debt instruments and documentation

(3) Building financial forecasting models.

Applicants should also have an understanding of how a corporate enterprise works, in terms of ownership structures, business models, as well as opportunities and risks that might impact a company s cash flows.