Summer Intern: Data Analytics & AI in Wealth Solutions

Guardian

New York (NY)

On-site

USD 28,000 - 48,000

Full time

14 days+

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Job summary

Guardian internship offers hands-on experience within Client Solutions and Wealth Management, focusing on data analysis and cross-team collaboration. You will gather and analyze data to identify trends, prepare clear deliverables, and learn how Guardian delivers financial solutions and drives growth.

This program emphasizes practical skill-building, mentorship, and exposure to AI-driven research and analysis.

Qualifications

  • A course of study in mathematics, economics, a business-related discipline (such as finance, accounting, marketing, or management), or a related field.
  • Strong analytical and problem-solving skills with comfort using Excel, PowerPoint, and Word.
  • Excellent written and verbal communication skills and strong attention to detail.
  • Collaborative mindset, intellectual curiosity, and ability to manage multiple priorities in a fast-paced environment.

Responsibilities

  • Support projects and analyses that advance CSWM areas.
  • Gather, organize, and analyze data to identify trends and inform recommendations.
  • Prepare clear, well-structured deliverables such as summaries, presentations, and reports.
  • Collaborate across teams and learn how CSWM areas work together to serve customers.
  • Explore and apply AI tools to improve research, analysis, and day-to-day work.

Skills

Analytical skills
Communication
Collaboration
Attention to detail

Education

Math / Economics / Business-related study

Tools

Microsoft Excel
Microsoft PowerPoint
Microsoft Word

Job description

Guardian internship offers hands-on experience within Client Solutions and Wealth Management, focusing on data analysis and cross-team collaboration. You will gather and analyze data to identify trends, prepare clear deliverables, and learn how Guardian delivers financial solutions and drives growth.

This program emphasizes practical skill-building, mentorship, and exposure to AI-driven research and analysis.

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