About the role

At ČSOB, we rely heavily on internally developed quantitative models across the full credit risk lifecycle—from credit decisioning (application and behavioral scorecards), through regulatory capital calculation (IRB models), to impairment measurement (IFRS 9/ECL). Our models span classical statistical techniques as well as modern machine‑learning approaches.

Our Model Validation team in Prague is growing and is looking for an early‑to‑mid‑career quantitative professionals who want to deepen their expertise in model risk and governance. The role is designed for people who already have a solid quantitative foundation and want to further develop their skills in a structured, well‑supported validation environment.

You will work in a diverse, international team, collaborating with experts across ČSOB and the wider KBC Group, with early exposure to real decision‑making at senior‑management and regulatory level. Strong onboarding and mentoring ensure a smooth transition into the role, especially during the first months.

This position is well suited for individuals who enjoy working with data, asking “why”, and gradually taking on more responsibility as their experience grow.

What you will do

• Perform end‑to‑end validations of credit risk and impairment models (concept, data, methodology, performance, stability, use‑test)
• Challenge models through quantitative testing using statistical and analytical tools
• Review statistical models, understanding assumptions, limitations, and key risk drivers
• Assess compliance with regulatory requirements and internal ČSOB / KBC standards
• Translate findings into clear, practical recommendations for model owners and management
• Participate in discussions with internal audit, external auditors, and supervisors
• Contribute to the continuous improvement of validation methods, tooling, and know‑how

What you bring & how you work

• Master’s degree or PhD in a quantitative or economic field (statistics, mathematics, econometrics, data science, physics, quantitative finance)
• Early‑career to mid‑level experience in quantitative analysis, modeling, analytics, or a related field; prior exposure to financial or risk models is an advantage, not a prerequisite
• Strong quantitative reasoning and willingness to challenge models thoughtfully and based on evidence
• Hands‑on experience with Python (or strong motivation to work with it), including comfortable use of a modern development environment (e.g. VS Code) and familiarity with GitHub Copilot or similar tools as a productivity aid. Hands‑on experience with R or MS SQL is a plus.
• Fluent English (spoken and written); Czech is not required
• A collaborative mindset and openness to learning in a complex regulatory environment

What we offer

• A meaningful role with real impact on model governance and risk decisions
• Work on a broad range of models across products, portfolios, and methodologies
• Strong onboarding, mentoring, and learning‑by‑doing culture
• International exposure within KBC Group
• A diverse and collaborative team environment, valuing different backgrounds and perspectives
• A culture that encourages curiosity, expertise, and independent thinking