Location(s):
7575 Gateway Blvd., Suite 300, Newark, California, 94560, USLine Of Business: RMS(RMS)
Job Category:
Students & Early CareersExperience Level: Early Career
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:
Working knowledge of R and Python with proficiency in at least one. Working knowledge of SQL and different frameworks.Ability and comfort to work with different data structures and to identify the right data structures for the problem at hand. Knowledge of threading, multiprocessing, asyncio, high performance computing.Backend web frameworks like flask, fastapi etc. Demonstrate comfort with Unix based operating systems and shell scripting.
Nice to have:
Working knowledge of Kubernetes, Docker (or similar container based hand off-deployment solution).Theoretical knowledge of computer vision and machine learning algorithms, and working knowledge of at least one library each.
Education:
Working towards M.S. or Ph.D in Working towards a BS or MS degree in related fields: Mathematics, Engineering, Physics, Statistics, Economics, Earth or Climate Sciences, Computer Sciences, Data Sciences, Software, IT or related field. Ability to work during program dates: June 2nd - August 8th 2025.
Responsibilities:
Development of request-response data flow models in a high performance on prem computing environment.Using state of the art Learning and Computer Vision techniques to identify anomalies in data sets using pre defined heuristics.Leveraging modern computing toolkits to develop cross platform DAG toolchains.
For US-based roles only: the anticipated hiring hourly range for this position is $45 per hour depending on factors such as experience, education, level, skills, and location.
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.