Your role

Do you have a sharp, analytic mindset? Do you enjoy diving into large data sets and using statistical programs to produce valuable insights for the business? Do you constantly look for opportunities to automate processes, improve efficiency, and harness the power of AI where it can make a meaningful impact?

For our Quantitatiive Risk and AI Internship we're looking for someone like you to:
• help accelerate our adoption of AI across the model development lifecycle by identifying, prototyping, and implementing innovative AI-driven solutions
• develop AI-powered tools and pipelines to automate processes and improve efficiency
• contribute to the development and enhancement of quantitative risk models, from data analysis and feature engineering to model testing and execution
• explore emerging AI technologies and trends to bring innovation and new ideas into the bank.

Your team

You will be working in the Corporate & Wholesale Credit Risk Scenario Models team within Credit Corporate Risk Models Stream in Krakow or Wroclaw, Poland, which is part of the group-wide Quantitative Risk Methodology department. Our team develops, refines, implements, and maintains mathematical, statistical and stress testing models to measure credit risk of UBS's various credit portfolios for regulatory and business steering purposes. The sub-team in which you'll be working focusses on developing and maintaining climate risk models (incl. the effect of climate change on credit risk) for the bank's various group-wide portfolios incl. Corporate & Wholesale portfolios. In this context, you will drive innovation and automation using AI for quant teams affecting all parts of the model lifecycle.

We interact with several departments across the bank including Credit Officers & Portfolio Underwriters, Front Office, Finance, IT, Independent Validation Unit and Audit on a regular basis. For the development of our methodologies, we use techniques from quantitative risk management, financial mathematics and econometrics. Models are both developed and implemented by the team using R and Python.

Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

• completed at least four semesters of your Bachelor's degree studies
• analytical and conceptual skills combined with good statistical understanding
• first experience in programming and the use of statistical software (e.g. Python, R) and SQL
• familiarity with AI tools, such as coding assistants, and willingness to learn new techniques
• you're curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment - validating outputs and aligning with policies, risk standards, and ethical use
• open, collaborative and pro-active personality
• diligent and detail-oriented work style
• fluent in English, both verbal and written form.

About us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.