Credit Risk Modeling Internship — Part‑Time, Hybrid (Vienna)

ERSTE Immobilien KAG; Wien; Hybrid; EUR 28.000 - 33.000; Teilzeit

Benefits dieser Stelle

Internship salary

Part-time schedule

Hybrid/remote options

Career development

Zusammenfassung

Erste Group Bank AG offers a 12-month, part-time internship in Vienna for students in quantitative fields, focusing on credit risk and model development. You will contribute to risk models, support data preparation, and help document models for regulatory approvals.

Hybrid working arrangement and a competitive internship salary are provided. Ideal candidates are enrolled in a natural or economic sciences program, with strong statistics, ML and programming skills, and fluent English.

Qualifikationen

• Currently enrolled student in natural or economic science with focus on mathematics, statistics, econometrics or banking and finance.
• Proven knowledge in applied statistics and ML techniques; experience with Python, R or SQL is preferred.
• Excellent English communication skills, both written and spoken.
• Strong teamwork and collaboration abilities.

Aufgaben

• Contribute to development and maintenance of credit risk models and decision models using appropriate statistical techniques.
• Assist data preparation for model development, ensuring data quality and completeness.
• Help develop group-wide credit risk model development standards.
• Support documentation of models for internal and regulatory approvals.

Kenntnisse

Applied statistics

ML techniques

Python

R

SQL

English

Ausbildung

Student in quantitative field

Jobbeschreibung

Erste Group Bank AG offers a 12-month, part-time internship in Vienna for students in quantitative fields, focusing on credit risk and model development. You will contribute to risk models, support data preparation, and help document models for regulatory approvals.

Hybrid working arrangement and a competitive internship salary are provided. Ideal candidates are enrolled in a natural or economic sciences program, with strong statistics, ML and programming skills, and fluent English.