Analytics-Modelling Intern Job at Moody's, New York, NY

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  • Moody's
  • New York, NY

Job Description

This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Experience Level: Early Career

Categories

  • Students & Early Careers


Location(s):

  • 7 World Trade Center, 250 Greenwich Street, New York, New York, 10007, US


Line Of Business: CSS(CSS)

Entity: Moody's Investors Service(MIS)

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.

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

  • Solid understanding of computer programming: design, implementation, compilation, unit testing
  • Solid understanding of data engineering and data pipelines.
  • Proficient in R and in particular the tidyverse and shinny packages Proficient in SQL
  • Knowledge of Object Oriented Programming, Python and Git workflow, Power BI
  • Positive and can-do attitude, pro-active and flexible
  • Excellent interpersonal skills and team oriented
  • Knowledge of finance and economics will be an advantage


Education

  • Working towards a Masters of Science in Computer Science, Programming, Computational Science, Engineering, and similar fields
  • Ability to work during program dates: June 2nd - August 8th 2025


Responsibilities

  • We are seeking a detailed-oriented, well organized summer intern to work with our team for the summer. As a summer intern at Moody’s, you will play a key role working closely with our analytics & modelling analysts and economists to write code that brings together Moody’s proprietary and external datasets to produce key strategy credit products.
  • With your solid understanding of quantitative methods and coding skills, you will be contributing to our applications by working on our data models, data pipeline and visualizations.


About The Team/Program

The Proprietary Data Analytics team produces strategic research to answer questions most relevant to credit markets. It relies heavily on both Moody’s proprietary data and external databases. Our economists and analytics & modelling analysts work closely with rating analysts at Moody’s to provide quantitative backing to rating decisions.

Moody's 10-week summer internship program is a premier opportunity for students to immerse themselves in a hands-on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program takes place each summer from June - August and positions are available for undergraduate and select graduate students. Internships are full-time, offering a comprehensive view of Moody's business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events. Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody's professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody's intern, you will gain real-world experience, turn inputs into actions, and be integral part of the team.

For US-based roles only: the anticipated hiring hourly rate for this position is $35/hr.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

Job Tags

Hourly pay, Full time, Summer work, Summer internship, Flexible hours,

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