Overview
Experience Level: Experienced Hire
Categories:
• Engineering & Technology
Location(s):
• Remote – United Kingdom, Remote, Remote, GB
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.
Who We’re Looking For You’ve got skills. You’re motivated. You’ve got a passion for excellence. All you’ve been missing is a place to put it all together. Moody’s could be that place.
The… Moody’s engineering team is looking for a forward-thinking software engineer who will work on a variety of projects. You will be at the very center of transforming our organization and working to fundamentally shift the way we do business by leveraging traditional technologies, the latest in artificial intelligence and generative models. Your domain of expertise will reach from back-end to brain-melting integrations, to web, to the next technology that becomes the new best way to push Moody’s forward. Technology moves quickly and so do we, so the ideal candidate is creative and ready to help forge new paths as part of a team focused on serving the needs of some of the largest organizations in the world with excellent, modern software.
If you have a full-stack mentality, the willingness to jump in and execute on any problem thrown at you, read on to see if you might be the perfect fit for this role!
Who you are
• Great at solving large, complicated problems
• All about focusing on details and getting things done
• Excited about building scalable infrastructure and services
• Absorb new information quickly
• A strong time manager with the organizational skills to drive projects to completion
• Someone who craves feedback & loves continuously learning and improving
What you’ll do
• Join a fast-moving team in Predictive Analytics passionate about innovating and creating the best software we can for an extremely dynamic, fast moving industry
• Be part of a team who cares about you and your personal growth and development
• Design, build, and own various services, machine learning solutions and web frontends – from their conception to production and maintenance
• Create simple, clean, testable code to power new product features, as well as refactor and improve existing code when things get a little too hairy
• Take ownership of projects and oversee them with minimal direction
What you’ll need:
• Skills with RDBMS (Postgres, MySQL or similar) and document based (NoSQL) data stores (MongoDB or similar).
• Skills in Python and TypeScript – experience with functionally flavored languages is a plus (Clojure, Haskell, etc.)
• Experience with popular front-end frameworks (Svelte, Angular, React, Vue, etc.)
• Experience with training and deploying machine learning models is a plus.
• Having any measure of DevOps experience is a plus (Docker, Kubernetes, etc)
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
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
Company:
Moody’s Careers
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
