• As a working student (m/f/d) in Data Science, you will gain exciting insights into the world of data analysis and machine learning. • You will support us with administrative and organizational tasks and have the opportunity to take on responsibility. • You will actively support Data Science projects and apply various methods from different machine learning approaches. • You will help preprocess and analyze data, create detailed visualizations, and write reports and presentations that communicate valuable insights. • You will contribute new ideas and develop innovative data-driven approaches. • In our agile team, you will work closely with stakeholders to jointly find and implement optimal solutions. • You will also take on your own small projects, which can serve as the basis for your thesis.

• Collaborate with scientists, engineers, and technical product owners to create technical solutions • Deliver production solutions for data extraction, classification, routing, search, and decision-making using foundation models • Manipulate and analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerations • Engineer and evaluate foundation model prompts systematically across domain datasets • Design comprehensive evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metrics • Own documentation and mentor junior team members through systematic problem-solving approaches • Decompose complex problems into measurable components, optimize across multiple dimensions, and articulate trade-offs

• Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions. • Foster a culture that values data-driven decision-making within the organization and aid in the enhancement of our data platform. • Offer ML and engineering expertise and ensure your team builds, deploys and maintains high standards models. • Drive innovation and creativity within your team, encouraging them to explore new data science techniques and approaches. • Empower your team by supporting members to grow and take ownership of data science projects. • Cultivate and demonstrate an action-oriented approach, encouraging your team to experiment, iterate, drive initiatives forward, even amidst ambiguity and continually assess and improve the team's performance, setting clear expectations and providing constructive feedback.

• Support the firm’s business across both banking and markets regulatory regimes • Own capital, margin, liquidity, and counterparty risk analytics that shape product design, settlement structures, regulatory engagement, and growth strategy