Your role



Are you interested in quantitative risk modelling and knowledgeable of statistical, mathematical and econometrical models used in the financial industry? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solve quantitative problems?



At UBS, we re-imagine the way we work, the way we connect with each other - our colleagues, clients and partners - and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.



We're looking for a Quantitative Analyst to develop and maintain stress testing and provisioning models:

• develop and maintain stress testing and provisioning models in line with international regulatory and accounting standards requirements

• support with ongoing and new regulatory initiatives to manage our risk

• contribute to the development, refinement and implementation of risk models

• perform and document model performance and confirmation analysis

• communicate technical information to Senior Management, Risk Officers and Subject Matter Experts




Your team



The Corporate & Wholesale Credit Risk Scenario Models team within the Credit Corporate Risk Models Stream in Krakow, Poland, is part of the group-wide Quantitative Risk Methodology department.

The 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 particular sub-team focusses on developing and maintaining stress testing and provisioning models for the bank's P&C/WMCH Corporate & Wholesale portfolios.




Your expertise



• Master's or PhD degree in a quantitative discipline (e.g. Financial Engineering, Economics, Finance, Econometrics, Mathematics, Statistics)

• analytical and conceptual skills combined with good statistical understanding

• experience in credit risk modelling is a plus

• experience in programming and the use of statistical software (focus on Python, other languages R, SQL are a plus)

• interest in stress-testing

• 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.