Working Student - ML Development (f/m/d) (Frankfurt am Main, DE) chez Deutsche Börse Group

Your area of work

In your new position, you will become a member of the Cyber Analytics team, part of Group Security. Cyber Analytics team is responsible for all aspects of Security Information and Event Management (SIEM).  It’s aiming to achieve a proactive detection of threats and improve monitoring of DBG information assets to protect them from cyber-attacks effectively, dealing with implementation and maintenance a state-of-the-art SIEM/SOC tooling, architecture and use cases content in order to support establishing Cyber Defense as a center of excellence for threat intelligence.

Are you a motivated student with a passion for Python development and an interest in Machine Learning? We’re offering an exciting opportunity for a Working Student to join our dynamic Machine Learning team and contribute to real-world projects within the financial industry.

Your responsibilities:

• You will support the development and maintenance of Python-based code for machine learning applications
• You will assist with data preprocessing and analysis using libraries such as Pandas and NumPy
• You will contribute to the improvement of our ML pipelines, thinking creatively to optimize performance and efficiency
• Also you will gain practical experience with containerization techniques (e.g., Docker) and cloud deployment practices
• As well as, you will collaborate with experienced data scientists and engineers in a supportive team environment

Your profile: 

• You are currently enrollment in a Bachelor's or Master's program in Computer Science, Data Science, or a related field
• You have good understanding of Python programming fundamentals
• You have a demonstrated ability to think abstractly and solve complex problems. This could include experience with algorithms, data structures, or mathematical concepts
• You are familiar with basic machine learning concepts is a plus
• You are interested in working with large datasets and applying analytical skills
• Also you are eager to learn new technologies and contribute to a team
• You are fluent in written and spoken english, german would be an asset

Start date: 01/11/2025