DZ BANK AG is seeking a motivated student worker to join our Capital Markets team as a Data Scientist in Frankfurt starting in 2026. This role offers hands-on experience in financial data analysis, machine learning, and market insights within a leading German cooperative bank.

DZ BANK AG, one of Germany's leading financial institutions, is looking for a Werkstudierende (student worker) in the Capital Markets division to support our data science initiatives. In this role, you will assist in developing and maintaining data models for market analysis, risk assessment, and predictive analytics using real-world financial datasets.

Key responsibilities include collecting and cleaning large datasets from various capital market sources, applying machine learning techniques to identify trends, and creating visualizations to support strategic decision-making. You will collaborate with cross-functional teams, including traders, analysts, and IT specialists, to deliver actionable insights that drive business performance.

This position is ideal for students passionate about the intersection of data science and finance, offering exposure to cutting-edge tools and methodologies in a dynamic environment. Starting in 2026, you will contribute to projects that enhance our competitive edge in the financial markets while balancing your studies.

• Enrollment in a relevant degree program in Data Science, Computer Science, Mathematics, or a related field, with availability to start in 2026.
• Basic knowledge of programming languages such as Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of financial markets, statistics, and data visualization tools (e.g., Tableau, Matplotlib).
• Strong analytical skills and eagerness to learn about capital markets and quantitative finance.
• Excellent communication skills in German and English; prior internship experience is a plus.
• Ability to work 15-20 hours per week during the semester.

• Competitive compensation for a student position, with opportunities for professional development in finance.
• Flexible working hours to accommodate academic schedule.
• Access to modern office facilities in Frankfurt and mentorship from experienced data scientists.
• Networking opportunities within the banking sector and potential for future full-time roles.
• Employee benefits including travel reimbursement and subsidized public transport.