Working Student AI & Automation Multi Asset & Equity (w/m/d) 60%

The position is a Working Student role focused on AI and automation within the Multi‑Asset and Equity divisions of Swiss Life Asset Managers, a leading European asset‑management and institutional real‑estate firm. You will be embedded in a team that collaborates with product specialists, portfolio managers and other business units, gaining a broad view of how investment strategies are built and delivered. Your daily tasks will involve designing, building and refining AI‑driven workflows that support the Multi‑Asset and Equity business. You will help create intelligent agents and digital assistants that retrieve knowledge and automate routine processes, while preparing and linking data sources for AI applications. The role also includes developing prompt libraries, reusable AI use cases, and translating business needs from product, sales and marketing teams into technical solutions. You will take part in proof‑of‑concepts, pilot programmes and the rollout of new AI tools, integrate these solutions into existing processes, and document everything to ensure long‑term sustainability. The employer expects you to be currently enrolled in a Bachelor's or Master's programme in Data Science, Artificial Intelligence, Computer Science, Business Information Systems, Finance or a closely related discipline, with at least one year of study left at the start date. You must be comfortable working with Python, R, data‑analytics techniques, APIs and contemporary AI and software‑development environments. A genuine interest in generative and agentic AI, automation and emerging technologies is required, as is a strong enthusiasm for capital markets and asset management. Good English communication skills are essential, and you should demonstrate a self‑driven, structured and solution‑oriented approach with a high focus on quality. The role offers a flexible 60 % workload, remote‑work possibilities abroad, and access to an in‑house Asset‑Management Academy for further development. Additional perks include discounts on Swiss Life investment products, mortgage offers, partner deals, contributions to third‑pillar life insurance, a generous pension plan, meal allowances, public‑transport discounts and various flexible‑working models. Experience with tools such as Microsoft Copilot, Power Automate, VS Code, GitHub, Azure AI services, or familiarity with Bloomberg and LSEG Workspace is considered advantageous, as is basic knowledge of investment concepts and German language skills. What the role asks for: - Enrolled in Bachelor's or Master's program in relevant field - Minimum one year of study remaining at start - Proficient in Python and R - Knowledge of data analytics, APIs, modern AI development - Strong interest in Generative AI and automation - Good English language skills - Self‑driven, structured, solution‑oriented work style - Strong interest in capital markets and asset management - Experience with Microsoft Copilot, Power Automate, VS Code, GitHub, Azure AI (nice-to-have) - Familiarity with Bloomberg or LSEG Workspace (nice-to-have) - Basic understanding of investment concepts or quick learning (nice-to-have) - German language proficiency (nice-to-have)