Responsibilities

• Development and maintenance of web applications.
• Designing and implementing cloud-based data pipelines.
• Designing and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance data retrieval and generation processes.
• Supporting the analysis and development of systematic investment and risk management strategies

Experience

• Currently pursuing a degree in computer science, quantitative finance, applied mathematics, or natural sciences
• Practical experience with object-oriented programming languages, preferably Python
• Familiarity with front-end development: Type Script, CSS, React
• Solid knowledge of databases such as My SQL, Mongo DB, Redis DB
• Understanding of data pipelining tools like Airflow is a plus
• Initial experience in quantitative analysis or the financial industry is a plus
• Initial experience with financial data is a plus
• Strong analytical skills, result-oriented, self-motivated, eager to learn, and a team player
• Ability to communicate and present in a concise and clear manner
• Excellent English skills (both written and spoken); good knowledge of German and French is desirable

Swiss Life Asset Managers