Wealth Management Intern

TechMore

New York, NYFresher3m agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year
Must know
Data analysisOperationsAccountingMarketingExcelMicrosoft Office
Work
On-site in New York · internship
Pay
Not stated by the employer.
Skill demand
Accounting35%Operations26%Marketing24%Data analysis5%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 1, 2026 · still open

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About the Role

This is a paid, 10-week Summer 2027 Internship in Wealth Management offering hands-on experience in data analysis within a global financial services company. The program provides industry and organizational knowledge through daily interactions, job assignments, and projects.

Key Responsibilities

  • Support projects and analyses for Client Solutions and Wealth Management (CSWM) areas.
  • Gather, organize, and analyze data to identify trends and inform recommendations.
  • Prepare clear deliverables such as summaries, presentations, and reports.
  • Collaborate across teams to understand CSWM operations.
  • Understand how the organization delivers financial solutions, supports growth, enhances advisor capabilities, and drives enterprise initiatives.
  • Explore and apply AI tools for research, analysis, and daily tasks.
  • Learn about the company’s purpose, values, operations, and offerings.
  • Build a professional network and community with other interns and employees.

Requirements & Tech Stack

  • Course of study in mathematics, economics, a business-related discipline (e.g., finance, accounting, marketing, management), or a related field.
  • Strong analytical and problem-solving skills.
  • Comfort working in Microsoft Excel, PowerPoint, and Word.
  • Excellent written and verbal communication skills.
  • Strong attention to detail.
  • Collaborative mindset.
  • Intellectual curiosity.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Must be available for the full program dates.
  • Legally authorized to work in the United States without employer sponsorship (now or in the future).

Preferred Qualifications

  • Familiarity with or hands-on experience using artificial intelligence (AI) tools for research, analysis, or work improvement.

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