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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

14Open Positions

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  • B

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B

2026 Graduate Internship Programme (Banking)

bis
Found 3 weeks ago
Location
Basel, Switzerland
Duration (Months)
11 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Pandas
  • R
  • Matlab
  • SQL
  • Git
  • AI
  • Machine Learning
  • quantitative
  • analytical

Soft Skills

  • innovative
  • Proactive personality
  • builder” mentality
  • willingness to learn
  • curiosity for new topics

Job Description

The Bank for International Settlements (BIS) is looking for innovative recent graduates to join the 2026 cohort of Graduate Interns. This is an 11-month internship that will allow you to use the knowledge you gained during your studies in a professional environment. Joining us is not just about launching your international career; it is about doing meaningful work for the public good and serving the global community. By joining the graduate internship programme in Banking, you will: Have the opportunity to undertake a largely self-directed project, which allows you to innovate and bring fresh perspectives and new ideas into our business. Look at how new technologies, including artificial intelligence (AI), can be used to solve complex analytical and quantitative business problems, or to help us develop new business opportunities or products. Directly contribute to BIS banking activities, enjoy exposure to a broad range of ideas and projects, and play a valuable part in supporting the wider central banking community. Collaborate with leading banking and risk management professionals from around the world. Purpose of the Internship Programme: The programme is aimed at enriching your work experience in order to help you in your pursuit of your next step, whether to a higher educational degree or a position at another organisation. The BIS Banking Department offers a broad range of banking services designed to assist central banks in the management of their foreign exchange and gold reserves. These services are provided by the Department’s Treasury and Asset Management & Advisory groups, with technical and analytical support from Back- and Middle-Office as well as Banking IT. Programme duration: 11 months Programme location: Basel, Switzerland Programme start date: October 2026 Principal accountabilities: You would be working on a quantitative and/or implementation project. The internship programme would address a relevant business project that requires innovative analytical solutions and/or the leveraging of new technologies, including AI. Under the guidance of a team member, you would be driving the project, from the analysis phase and the implementation until the eventual presentation of final results, potentially to a wider audience.

Requirements

  • completed in 2025 or 2026
  • Strong analytical skills
  • Practical coding experience in Python (specifically libraries like PyTorch, TensorFlow, Scikit-learn, or Pandas), R, Matlab, or similar
  • Familiarity with SQL and version control (Git)
  • Interest in banking and/or risk management and the application of new technologies relevant for the financial sector
  • experience with financial markets, financial return and risk modelling, for example in the context of practical portfolio construction exercises, pricing and valuation methodologies, or risk measurement, is a plus
  • Experience in building AI/ML models (e.g., through a thesis, personal project, or previous internships) is a plus
  • Proactive personality with “builder” mentality and a willingness to learn and curiosity for new topics

Related Field

  • Finance and Banking

Related Subfield

  • Treasury

Languages

  • English

Nice to Haves

  • experience with financial markets
  • financial return and risk modelling
  • practical portfolio construction exercises
  • pricing and valuation methodologies
  • risk measurement
  • Experience in building AI/ML models
▶Apply Now

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