University degree in a quantitative or technical field., Good understanding of statistics and familiarity with sophisticated tools for numerical analysis., Minimum 4 years of credit risk modelling experience., Good exposure to credit model methodologies and data requirement for A-IRB (preferable), IFRS 9 or stress testing., Proven ability to take ownership of your work and solve complex modelling related issues., Strong database and credit risk systems experience including coding in Python (preferable), SAS, R, SQL, VBA., Good understanding and interpretation of regulatory rules.

In-office gym, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, corporate sports team, retirement pension plan, corporate library, no dress code, coffee / tea, parking space for employees, leisure zone, extra social benefits, employee referral program, opportunity to obtain permits and licenses, charity initiatives, family picnics, extra leave