Wealth, Management-Intership

TechMore

Seattle, WAFresher17m agovia LinkedIn

Posted 14 Nov 2026, 03:02 ET

This job at a glance

Who can apply
New grads and up to 1 year
Must know
Data analysisOperationsExcelMicrosoft OfficeAccountingMarketing
Work
On-site in Seattle
Pay
Not stated by the employer.
Skill demand
Operations27%Microsoft Office25%Excel23%Data analysis2%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 14, 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.

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 (summaries, presentations, reports) for team and leadership.
  • Collaborate across teams to build relationships and understand CSWM operations.
  • Understand how the organization delivers financial solutions and drives initiatives.
  • Explore and apply AI tools for research, analysis, and daily work.
  • Learn from leaders, mentors, and team members.
  • Understand the company’s purpose, values, operations, and offerings.
  • Build a network with colleagues and other interns.

Requirements & Tech Stack

  • Strong analytical and problem-solving skills.
  • Proficiency 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.
  • Availability for the full program dates.
  • Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Qualifications

  • Pursuing a degree in mathematics, economics, a business-related discipline (finance, accounting, marketing, management), or a related field.

Preferred Qualifications

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

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