Your role

Do you have an analytic mindset? Do you enjoy diving into large data sets and using statistical programs to produce valuable insights for the business? Are you an innovative person motivated to contribute to highly specialized solutions?

For our Quantitative Risk Internship we're looking for someone like you to:
• support the analysis of data to find patterns that drive the risk of credit clients
• contribute to model development and model testing
• run model prototypes
• help setting live new model features

Your team

You will be working in the Corporate & Retail Credit Scenario Models team within Credit Corporate & Retail Models Stream in Krakow, Poland, which is part of the group-wide Quantitative Risk Modelling 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 stress testing, provisioning and climate risk models for the bank's Swiss Corporate & Wholesale portfolios.

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 SAS, 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. We welcome applications from both current students and recent graduates.
• analytical and conceptual skills combined with good statistical understanding
• first experience in programming and the use of statistical software (e.g. Python, R, SAS) and SQL
• open, collaborative and pro-active personality
• diligent and detail-oriented work style
• fluent in English, both verbal and written form
• 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.

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.