Working Student - ML Development (f/m/d)

Build the future of financial markets. Build yours.

Ready to make a real impact in the financial industry? At Deutsche Börse Group, we\’ll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 15,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team!

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Who we are

Deutsche Börse Group is one of the world\’s leading exchange organisations and an innovative market infrastructure provider. With our products and services, we ensure that capital markets are fair, transparent, reliable, and stable. Together, we develop state-of-the-art IT solutions and offer our IT systems all over the world. Play a key role in our mission: to create trust in the markets of today and tomorrow.

Frankfurt am Main

Your career at 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: 01/08/2025