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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Investment Analyst Intern (Asset Management)

Swiss Re
Found 2 weeks ago
Location
Zurich, Switzerland
Duration (Months)
4.5 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
The base salary range for this position will be shared with you during the interview process.
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • MS Excel
  • PowerPoint
  • financial modelling
  • Python
  • data analysis tools
  • Bloomberg
  • Capital IQ
  • AI tools

Soft Skills

  • analytical ability
  • curiosity
  • drive
  • Solid analytical and problem-solving skills
  • great attention to detail
  • Clear and structured communicator
  • Proactive
  • reliable
  • able to work independently in a team environment

Job Description

We’re looking for a highly motivated Investment Analyst Intern to join Swiss Re Asset Management for 3-6 months starting July 2026. You will be embedded in one of our investment teams, most likely Private Equity or Corporate Development (Group M&A), working alongside experienced professionals on live topics and transactions. This is a hands-on role with real exposure to how investment decisions are made in a global institutional investor. Depending on the team, your work may include: * Supporting investment screening and due diligence (e.g. Private Equity fund or co-investments, strategic transactions) * Building and reviewing financial models and valuation analyses * Conducting company, industry, and market research * Preparing investment memos and materials for internal committees * Presenting at Investment Committees and team meetings * Analyzing portfolio performance and key risk/return drivers * Supporting ongoing portfolio monitoring and strategic projects You will be expected to take ownership of defined workstreams and contribute to team deliverables. About the teams Private Equity: Focuses on fund investments, co-investments, and portfolio monitoring across a global private markets platform Corporate Development (Group M&A): Works on strategic transactions, partnerships, and investments at the Swiss Re Group level Both teams operate in a dynamic, analytical, and collaborative environment with high exposure to senior stakeholders. Why this role This internship is designed as a pipeline into Swiss Re’s Financial Markets Program (FMP), our graduate track for future investment professionals. You will gain relevant experience, build your network, and get a realistic preview of a career in Asset Management.

Requirements

  • Currently in the final year of a Bachelor’s or Master’s degree in Finance, Economics, Mathematics, or a related field
  • Strong interest in financial markets, private markets, or corporate finance / M&A
  • Prior internship experience in finance, consulting, or a related analytical field is a plus
  • Solid analytical and problem-solving skills, with great attention to detail
  • Comfortable working with data and financial concepts (e.g. valuation, financial statements)
  • Clear and structured communicator with excellent written and spoken English
  • Proactive, reliable, and able to work independently in a team environment
  • Strong MS Excel and PowerPoint skills required
  • Experience with financial modelling, Python, or data analysis tools (such as Bloomberg and Capital IQ) is a plus
  • Interest in and familiarity with AI tools (e.g. for research, data analysis, or productivity), and a willingness to apply them thoughtfully in an investment context
  • Due to immigration regulations, you must provide a certificate from a Swiss university confirming that an internship is integral to your course of study. Please submit this mandatory letter with your application documents.

Related Field

  • Finance and Banking

Related Subfield

  • Asset Management

Languages

  • English

Nice to Haves

  • Prior internship experience in finance, consulting, or a related analytical field is a plus
  • Experience with financial modelling, Python, or data analysis tools (such as Bloomberg and Capital IQ) is a plus
  • Interest in and familiarity with AI tools (e.g. for research, data analysis, or productivity), and a willingness to apply them thoughtfully in an investment context
▶Apply Now

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