At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

‍

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

‍

‍

Skills and competencies

‍

•    Hands on experience with programming languages such as MATLAB, SQL, R and/or Python
•    Strong quantitative and problem-solving skills
•    High degree of attention to detail and willingness to learn new technologies
•    Excellent interpersonal and communication skills
•    Fluency in English, both spoken and written
•    Team player with the ability to work independently and function in a support role
•    Ability to manage own workflow/priorities and meet deadlines
•    Knowledge and experience in data visualization would be a plus

‍

‍

Qualifications:

‍
•    Graduate/Post-graduate degree in Engineering, Financial Engineering, Econometrics, Economics, Statistics, Finance, Physics, Mathematics or Business preferred
•    0-2 years of relevant work experience required for Graduate degree candidates -- experience in financial analysis and credit risk a strong plus.

‍

‍
Role / Responsibilities:

‍
The major function of the role is to provide analytical, statistical, research and logistical assistance to the Default & Ratings Analytics team within Credit Strategy & Standards. Key responsibilities include:
•    Track fundamental sector defaults and resolution and collect corporate default data
•    Process, clean, and verify data for default and ratings performance research
•    Utilize MATLAB, Excel, and SQL to query and manipulate large datasets to conduct statistical analysis
•    Compile statistical data packets for rating methodology reviews
•    Prepare data-oriented reports and presentations concerning ratings performance
•    Support senior analysts in the drafting and visualization of default research publications
•    Assist with ad-hoc quantitative projects and respond to internal as well as external data requests

‍