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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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  • B

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B

2026 Graduate Internship Programme (Risk Management)

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

  • Mathematics
  • Computer Science
  • Financial Engineering
  • Python
  • R
  • Matlab
  • risk modelling
  • fintech applications
  • machine learning
  • artificial intelligence

Soft Skills

  • Strong analytical skills
  • Proactive personality
  • willingness to learn
  • curiosity for new topics

Job Description

The Bank for International Settlements (BIS) is looking for 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 Risk Management 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 work. Look at how new technologies can be used to solve complex analytical and quantitative problems, or to help us develop new opportunities or solutions. Directly contribute to meaningful projects, enjoy exposure to a broad range of ideas and initiatives, and play a valuable part in supporting the wider international community. Collaborate with leading 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. Together we will scope, define, and agree on the project, which will depend on your skills and interest/expertise. Risk Management ensures that risks are identified, appropriately measured, controlled, monitored, and reported. The unit develops corresponding policies and proposals and monitors adherence to defined rules and limits. Within Risk Management, the Risk Models team develops quantitative risk measurement and valuation methodologies across all risk types, in line with sound market practice, regulation, and targeted to the specific scope and nature of the BIS business model. You would be working on a quantitative and/or implementation project in one of the above-mentioned areas. The internship programme would address a relevant project that requires innovative analytical solutions and/or the leveraging of new technologies. Under the guidance of a team member, you would be driving the project, from the analysis phase and implementation to the eventual presentation of final results, potentially to a wider audience.

Requirements

  • Bachelor’s or master’s degree ideally in a quantitative field such as Mathematics, Computer Science, Financial Engineering, or a related field, completed in either 2025 or 2026
  • Strong analytical skills
  • Practical coding experience in Python, R, Matlab, or similar
  • Interest in risk management and the application of new technologies
  • experience with risk modelling, for example in the context of practical portfolio construction exercises, pricing and valuation methodologies, or risk measurement, is a plus
  • Experience in fintech applications (machine learning, artificial intelligence) gained, for example, in the context of the master’s thesis is a plus
  • Proactive personality with a willingness to learn and curiosity for new topics

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Analysis

Nice to Haves

  • experience with risk modelling, for example in the context of practical portfolio construction exercises, pricing and valuation methodologies, or risk measurement, is a plus
  • Experience in fintech applications (machine learning, artificial intelligence) gained, for example, in the context of the master’s thesis is a plus
▶Apply Now

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