⸻ Key Responsibilities Develop, redevelop, and recalibrate IRB credit risk models (PD, LGD, EAD). Perform annual monitoring exercises and periodic model reviews. Conduct data analysis to support model development, monitoring, and investigations. Prepare and maintain high-quality model documentation for internal governance, validation, and regulatory review. Address findings and recommendations from model validation, internal audit, and regulators. Support model implementation and changes, working closely with IT and data teams. Contribute to methodological discussions and continuous improvement of IRB modelling standards. Act as a subject matter expert for assigned models, portfolios, or methodological topics. Support team members and help them grow in their role. ⸻ Required Skills & Experience • Master’s degree or PhD in a quantitative field (Econometrics, Statistics, Mathematics, Engineering, Physics, or similar). • Experience in credit risk modelling within a banking or regulatory environment. • Strong hands-on experience with IRB models (PD, LGD, EAD). • Solid understanding of IRB regulatory frameworks and expectations. • Familiarity with EBA / ECB guidelines and regulatory standards. • Strong statistical and quantitative skills. • Proficiency SQL, SAS, or similar modelling tools. • Experience working with large, complex datasets. • Ability to clearly explain technical topics to non-technical stakeholders. • Strong ownership mindset and attention to detail. ⸻ Nice to Have • Experience with model validation or regulatory on-site inspections. • Exposure to multi-portfolio IRB environments. • Experience contributing to methodological or policy-driven changes. ⸻ What We Offer • A technically strong role in a core IRB regulatory modelling function. • Exposure to senior risk stakeholders and regulatory interactions. • A professional, technically focused working environment. • Being part of an international, dynamic team.