Quantitative Data Scientist | Data Scientist

Job Summary

Join the Group Risk Controlling division as a Quantitative Data Scientist focused on designing, validating, and operationalizing critical non-retail credit risk models, including IFRS9, stress-testing, and economic capital. This role involves the implementation and refinement of risk rating models and algorithms using R, Python, and SQL, ensuring integration into robust production systems following modern software development standards. You will collaborate within a dynamic Scrum team of quants and engage with diverse stakeholders, including banking supervisors, auditors, and senior management, to explain complex technical methodologies. Key requirements include a Master's or PhD in a quantitative field (e.g., Mathematics, Computer Science, Econometrics) and a minimum of three years of experience in software development or DevOps. This position offers excellent career acceleration through regulatory exposure, continuous learning, and flexible work arrangements in an international, English-speaking environment.