Learn. Develop. Grow. But always: Share value Join our international team that drives positive change, united by a spirit of openness and curiosity. We empower you to have an impact and to grow - personally and professionally. With us, you work at the heart of financial systems and evolve the way markets operate. We're excited about the future because we are the ones shaping it. Let´s do this together by sharing value! Who we are Tracing its origins to 1585, Deutsche Börse Group has become one of the world's leading exchange organisations and an innovative market infrastructure provider. In this role, we provide investors, financial institutions and companies access to global capital markets. What's your part in all this? With your commitment you contribute to the success of our unique business model: offering a wide range of products, services and technologies for security, transparency and integrity on the markets. By creating trust in the markets of today and tomorrow we foster growth and contribute to the prosperity of future generations. Frankfurt am Main Your career at Deutsche Börse Group Your area of work: As a working student (f/m/d) you will support the team Trading System Analytics in the "Xetra/Eurex Trading IT" department significantly by conducting data analysis using python or other state-of-art data analytics methodologies. Furthermore, you will contribute to our goal to ensure a level playing field for all customers by performing infrastructure monitoring tasks with the help of different tools. Your responsibilities Gaining technical know-how about the dynamics of the T7 trading platform with the help of the Trading System Analytics team Analyzing latency data and develop new methodologies on your own Analyzing and monitoring the usage of our infrastructure by customers Maintenance, enhancement and development of existing and new tools for the analyses Presenting the results and findings for future use and improvements Your profile: You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed at least 4 semesters in the field of informatics, mathematics, physics or other relevant fields You have practical knowledge in performing data analysis in Python (numpy, pandas or similar), C and C++ knowledge would be a plus You are experienced working with a Linux environment In addition, you are a quick learner with the ability to work independently, complemented by good communication and teamwork skills as well as a high sense of responsibility. Strong analytical skills and creative thinking help you to familiarize with new topics Furthermore, you are fluent in written and spoken English, German is beneficial Start date: 01/05/2023