Poland

Risk

Group Functions

Your role

Do you have an analytical mindset and a curiosity for how models are used, reviewed and governed in a large international financial institution? Are you interested in building practical knowledge of data analysis, model validation, automation, agile ways of working and model risk management? For our MRMC Model Validation Internship Program, we are looking for motivated graduates who want to learn step by step how independent model validation works, while contributing under guidance to well-defined activities across the model lifecycle.
• learn the fundamentals of model validation by observing how teams assess model purpose, methodology, implementation, performance and limitations, with exposure to credit risk and AI models and the governance standards used in a global financial institution
• develop practical analytical skills by supporting guided data analysis, testing, evidence gathering and documentation activities, while receiving feedback and coaching from experienced colleagues, and learn how these solutions can support more efficient validation workflows
• explore process improvement concepts by participating in project-based activities involving automation, workflow enhancement, visualization and AI-enabled tools, with guidance on how to explain quantitative concepts in a structured and stakeholder-friendly way
• build confidence in communicating technical topics by helping prepare validation summaries, presentation materials and clear management reporting
• strengthen your understanding of model risk management by learning how independent challenge, clear documentation and disciplined governance help support responsible model use
•practice working in a collaborative environment through well-scoped tasks, regular feedback and opportunities to reflect on what you are learning

Job Reference #

340478BR

City

Kraków

Job Type

Full Time

Your team

You’ll be working alongside our Model Risk Management & Control (MRMC) US team in Krakow. As an intern, you will learn how model validation supports sound risk management by observing experienced colleagues, reviewing practical examples and gradually contributing to defined tasks. You will gain exposure to how validators analyze model methodology, data, implementation, performance and governance, and how clear documentation and effective challenge help stakeholders understand model risk.

In our Internship Program, you will build a strong foundation through a structured mix of learning, shadowing and hands-on project work. You will practice using tools such as R, Python, Excel or AI-incorporated analytical applications, while learning how automation, digitalization and AI-enabled solutions can improve validation workflows, documentation and reporting. This paid internship lasts six months, and is based on a 40-hour work week.
The program is designed as a learning journey: you will first develop an understanding of core model risk and validation concepts, especially in the credit risk and AI modeling areas, then practice applying them through guided analytical and documentation tasks, and finally contribute to small improvements or summaries that can be shared with the team. Throughout the internship, you will receive guidance from experienced colleagues and gain practical exposure to regulatory expectations, governance standards, analytical testing, process automation and effective stakeholder communication.

Your expertise

• at least a bachelor’s degree, or final-year study, in financial mathematics, statistics, econometrics, physics, applied mathematics, computer science, economics, finance or another quantitative discipline
• genuine interest in learning about financial markets, credit risk, AI risks, quantitative methods, data analysis, model validation and risk management
• strong prompt writing skills and hands-on experience leveraging AI chatbots for day-to-day problem solving
• strong analytical thinking, attention to detail and willingness to learn complex topics step by step
• motivation, curiosity, creativity and a can-do attitude when working through new problems
• adaptability and ability to collaborate across teams, functions and cultures in an international environment
• good written and spoken English, with the ability to explain analytical work clearly
• solid MS Office skills, especially Excel and PowerPoint; familiarity with Python, R or similar analytical tools is helpful, and enthusiasm to continue learning is essential
• interest in learning tools such as GitLab, automation solutions and AI-enabled productivity tools through guided practice and project work
•can evidence how experimental and responsible use of AI can improve outcomes and efficiency

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.

How we hire

We may request you to complete one or more assessments during the application process. Learn more

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.

Contact Details

UBS Business Solutions SA
UBS Recruiting

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Report misconduct: If you are made aware of any of our employees or individuals acting on behalf of UBS engaging in acts of misconduct under the Poland Whistleblowing Act, you may report your concerns through Poland-Whistleblowing@ubs.com