Banking Customer Intelligence & Performance Summer Intern
Moody's
- Location
- New York, NY
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Salary
- $35/hr
Skills
About this role
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. Applications for this position will be accepted from September 17 th - September 30 th . We encourage interested candidates to apply early to ensure full consideration. Skills and Competencies Genuine interest in customer insights, data, and how technology can make both better Exposure to coding or data tools such as Python or similar; comfort with AI tools is a plus Strong problem-solving instincts and strong organizational skills Ability to communicate and collaborate effectively with teammates, stakeholders, and occasionally customers Self-starter mindset - proactive, detail-oriented, and comfortable managing multiple priorities at once Coursework or experience in analytics or business intelligence preferred Prior knowledge of, or interest in, the banking industry is preferred Familiarity with CRM systems (e.g., Salesforce) preferred Experience translating technical findings into plain-language business value through projects or prior internships preferred Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Currently pursuing an undergraduate or graduate degree in Business, Data Science, Computer Science, Engineering, or a related field Graduation date of December 2027 – June 2028 Ability to work during program dates: June 7th - August 13th 2027 Responsibilities Support Moody's Banking Customer Engagement team by turning customer data into clear, connected insights that help serve banking clients more effectively. Partner with internal teams to aggregate and interpret customer information, including product usage, satisfaction scores, support requests, project status, and event feedback Help build simple, intelligent tools and workflows using AI assistants and related technology that transform customer data into actionable insights Work with data platforms to organize customer information in a way that is easy to analyze and report on Help design workflows that give internal teams real-time visibility into customer health and engagement Collaborate closely with internal stakeholders and, on occasion, customers directly to ensure the solutions built reflect real client needs Support efforts to track customer value delivery and demonstrate the impact of the client relationship About the Team/Program Our Banking Customer Engagement team is responsible for building a clear, connected picture of the customer relationship across Moody's banking client base. The team partners closely with advisory, customer success, and project delivery functions to surface actionable insights that drive smarter client conversations and better outcomes. By joining our team, you will contribute to meaningful work at the intersection of data, technology, and client