Research Assistant, NationalScale Credit Ratings

The Team:

The IFR LATAM team assigns and surveils nationalscale credit ratings in Brazil covering corporates and infrastructure issuers. You will work closely with senior analysts to support highquality analytical work that underpins S&P Global Ratings mission of delivering transparent independent credit opinions.This role fills a critical operational need created by recent internal mobility ensuring continuity efficiency and stability across a complex portfolio that requires consistent analytical support data management and crossstakeholder coordination.You will also work within an environment increasingly shaped by AIenabled research workflows automated data extraction and digital tools that support modern credit analysis.

The Impact:

At S&P Global Ratings every analytical contribution matters. Your work supports our reputation for integrity transparency and ratings excellence. Our ratings help investors measure and manage credit risk enabling capital formation infrastructure development and economic growth. You will support analytical processes by preparing committee materials maintaining databases and assembling financial and technical information essential to rating activities.Your contributions directly reduce operational pressure on senior analysts helping maintain turnaround times analytical depth and portfolio quality.You will also learn to leverage AIdriven data tools automationsupported quality checks and machineassisted research techniques that reflect current market norms in credit analysis.

Whats in it for you:

This role offers a fastpaced learning environment where you will gain handson exposure to credit analysis committee processes and thoughtleadership development. You will work alongside experienced analysts and learn how AI automation and datadriven tools are reshaping analytical workflows.You will develop capabilities such as understanding team goals contributing beyond assigned tasks applying defined processes with accuracy proactively supporting analysts and identifying opportunities for efficiency and innovation.This position also serves as a key entry point into the analyst pipeline providing structured development toward future analytical responsibilities.

Responsibilities:

• Conduct research using both traditional sources andAIsupported toolsto prepare documents and presentations for rating committees.

• Support Senior Analysts throughout the analytical process across multiple sectors.

• Assist in collecting validating and analyzing financial technical and operational data.

• Maintain and update internal databases and analytical tools.

• Use automationenabled templates and dataprocessing tools to improve efficiency and consistency in analytical outputs.

• Begin supporting simpler transactions to build foundational credit understanding.

• Collaborate with analysts to publish periodic thoughtleadership articles.

• Share fresh perspectives and contribute to reversementoring and collaborative learning.

• Comply with quality standards and internal compliance policies.

• Provide high levels of customer service and responsiveness.

• Build and maintain strong internal and external relationships.

• Demonstrate attention to detail proactive support to the team effective time management adaptability and curiosity.

• All employees must work from the office at least 2 days/week.

What Were Looking For:

• Bachelors degree in Business Administration Economics Finance Engineering Mathematics or a related field.

• Strong analytical skills and understanding of financial statement analysis.

• Ability to quickly absorb analyze and act on information with strong data proficiency.

• Openness to learning AIenabled research methods automation tools and datadriven analytical techniques.

• Excellent verbal and written communication skills.

• Highly organized able to multitask manage competing priorities and meet deadlines.

• Proficiency in MS Excel Word PowerPoint and database applications.

• Fluency in English and Portuguese (Spanish is a plus).

• Please apply with an English CV; the recruiting process will be conducted in English.

Basic Required Qualifications:

• An S&P Global employee at this level would typically have 01 years of experience in analytical financial or researchoriented work.

• Ability to determine a course of action based on clear guidelines.

• Strong attention to detail and ability to identify potential issues.

• Comfort using structured processes templates and AIsupported tools to produce highquality outputs.

• Finalstage candidates must attend one inperson interview at your nearest S&P Global Ratings office before offer.

Additional Preferred Qualifications:

• Coursework or internship experience in finance economics engineering or data analysis.

• Familiarity with financial statements credit concepts or capital markets.

• Exposure to Python R SQL or AIenabled data tools (even at a beginner level) is a plus.

• Demonstrated collaboration curiosity adaptability and proactive problemsolving.