Moody's Corporation
Product Support Specialist - Tech

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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
- 5+ years of experience in technical customer support, client services, or a related role, preferably supporting Software-as-a-Service (SaaS) solutions
- Strong technical troubleshooting skills with hands-on knowledge of Python, SQL, APIs, and enterprise software applications
- Proven ability to diagnose technical issues, analyze root causes, and partner with cross-functional teams to deliver effective solutions
- Excellent customer service, communication, and relationship management skills, with the ability to engage both technical and non-technical stakeholders
- Strong analytical and problem-solving capabilities, coupled with a proactive and customer-focused mindset
- Ability to manage multiple priorities in a fast-paced environment while maintaining high levels of quality and responsiveness
- Demonstrated proficiency in artificial intelligence concepts, with experience using AI-enabled tools to improve workflows, enhance operational efficiency, and support effective decision-making
- Understanding of responsible and ethical AI practices is preferred
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Education
Bachelor's degree concentration in Information Technology, Computer Science, Finance, or a related field
Responsibilities
- Provide technical support and customer service for Moody's Analytics solutions while ensuring timely issue resolution and a positive client experience.
- Deliver high-quality technical support for Moody's Analytics products and services, ensuring client issues are addressed accurately and efficiently
- Communicate with clients in a professional, timely, and customer-focused manner through multiple support channels
- Manage support requests from initial inquiry through resolution, maintaining ownership and coordinating appropriate escalations when required
- Troubleshoot technical issues involving APIs, data integrations, SQL queries, Python-based solutions, and enterprise software applications
- Collaborate closely with Product, Engineering, Sales, Customer Success, Research, Data, and other internal teams to resolve complex client issues and improve the customer experience
- Capture, document, and communicate client feedback to support product enhancements and continuous improvement initiatives
- Create and maintain knowledge base content, technical documentation, and best practice guides to support client self-service and operational efficiency
- Support new product launches, service enhancements, and strategic business initiatives through client enablement and operational readiness activities
- Identify opportunities to expand client adoption of Moody's Analytics solutions and partner with commercial teams to support growth initiatives
- Leverage AI-enabled tools and technologies where appropriate to improve support processes, enhance efficiency, and contribute to continuous innovation while adhering to responsible AI practices


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About The Team
Our Product Support team serves as a critical link between our clients and Moody's Analytics' technology solutions. The team is responsible for delivering exceptional technical support, enabling successful product adoption, and ensuring clients realize value from our industry-leading analytical and risk management platforms. The team contributes to Moody's mission by helping clients maximize the value of our products, providing insights that support continuous product improvement, and partnering across the organization to enhance the overall client experience. By joining our team, you will collaborate with globally distributed experts, support innovative technology solutions, and work in an environment that embraces digital transformation and AI-enabled tools to improve efficiency, knowledge sharing, and service delivery.
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.
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