(Senior) Consultant (m/f/d) · AI Infrastructure & Technology

Consulting x Financial Services – Your Chance to Shape the Future! Are you an experienced consultant (m/f/d) ready to take the next step in your career? Are you looking for a dynamic environment in a fast-growing company? Then you’ve come to the right place! We provide the platform for you to help shape the financial world of tomorrow with forward-looking strategic transformation, smart strategies, and an international team. Here, you can apply your expertise and take it to the next level. Sounds like you? Let’s talk!

Your responsibilities

• Support AI and Data Analytics projects in the financial sector by planning, organizing, and executing work packages using agile methodologies, ensuring compelling results are delivered and presented on time. Design, develop, and optimize robust data pipelines, including scalable ETL and ELT processes. Extract actionable insights from complex datasets using exploratory data analysis, statistical methods, and Machine Learning models. Empower data-driven decisions by building and maintaining interactive dashboards and reports using tools like Power BI and Tableau. Leverage leading cloud platforms like AWS, Azure, or GCP to build and deploy modern data architectures. Engineer automated solutions for complex business challenges using cutting-edge technologies such as Agentic AI frameworks, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
  Collaborate actively within interdisciplinary teams, learn from experienced colleagues, and build long-lasting client relationships through outstanding project delivery and high customer satisfaction. Drive thought leadership and business development by supporting proposal processes, developing Proof of Concepts (POCs), and preparing presentations and whitepapers. Actively participate in internal knowledge-sharing around Data Analytics and AI, and continuously advance your professional profile by taking advantage of coaching and training opportunities. Your ticket Your educational foundation is a Bachelor’s degree in a quantitative or business-related field. A Master’s degree, MBA, or PhD is a strong plus. You bring initial hands-on experience in at least one of the following key areas: Data Architecture