Moody's Analytics, Inc. logo

Banking Customer Intelligence & Performance Summer Intern

Moody's Analytics, Inc.

NEW YORK, NYInternshipSeen 1w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Banking Customer Intelligence & Performance Summer Intern will support Moody’s Banking Customer Engagement team in turning customer data into connected insights for banking clients. The intern will help organize and interpret customer information, build AI-assisted tools and workflows, and improve visibility into customer health, engagement, and value delivery. The program runs June 7 through August 13, 2027, and is intended for candidates pursuing an undergraduate or graduate degree who graduate between December 2027 and June 2028.

Skills & qualifications

RequiredNice to have

Skills

Customer InsightsData AnalysisPythonAI ToolsProblem SolvingOrganizationCommunicationCollaborationProactivityAttention to DetailMultitaskingAnalyticsBusiness IntelligenceBankingSalesforceTranslating Technical FindingsArtificial IntelligenceResponsible AIRisk ManagementEthical AI

Qualifications

Undergraduate or Graduate Degree

Full job description

14573 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 17th - September 30th. 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 useEducation * 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 2027Responsibilities 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 relationshipAbout the Team/ProgramOur 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 t

How this job compares

Set against the 2,486 open Data Analytics jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This postingNot listed
  • New York median$125–180K/yr177 salary ranges
  • New York median$20–34/hr23 hourly ranges
Openings
Olive Jobs lists 254 open Data Analytics jobs in New York and 2,486 across the US. 4% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,935 postings).
Education
1,196 of the 2,486 open Data Analytics jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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