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.