Erste Group was founded in 1819 as the first Austrian savings bank and today it is one of the largest banking groups in Central and Eastern Europe (CEE). As an attractive employer, Erste Group offers interesting career opportunities in an international environment.

The department Model Methodology & Development is the central function responsible for the development and maintenance of models used in the analysis of credit risk, in particular regulatory Pillar 1 IRB models, Pillar 2 and IFRS 9 models as well as risk decision models. It is also responsible for the definition of group-wide model development standards.

• Contribute to the development and maintenance of credit risk and decision models by applying appropriate statistical techniques
• Support data preparation activities for model development, ensuring adequate data quality in terms of consistency and completeness
• Assist in the further development of group-wide credit risk model development standards
• Support the documentation of models for both internal and regulatory approval

•    Ongoing studies at a University/University of Applied Sciences in natural or economic science with focus on mathematics, statistics, econometrics or banking and finance
•    Profound knowledge in applied statistics (e.g. ML: regression analysis, neural network, decision trees, random forests) as well as experience in a statistical programming language (e.g. Python, R, SQL)
•    Highly proficient in both spoken and written English
•    Team-oriented with strong ability to cooperate

• Exciting and challenging part-time internship (19.25h/week) as of January 2026 until December 2026
• Support of your professional and personal development in a dynamic, comprehensive and interesting area
• We guarantee an internship allowance of minimum EUR 2.660,50 gross per month on a full-time basis (except obligatory internships) and benefits of Erste Group 
• We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

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