Quantitative Investment Analyst (d/m/w) - German speaking

This full-time position in Berlin involves supporting the investment team by managing strategy-related data and maintaining the technical infrastructure for aggregating inputs from sources like Bloomberg, Morningstar, and internal data warehouses. The role requires developing and refining Python-based tools for portfolio simulations, backtesting, and fund selection, while also contributing to quantitative research on asset allocation models. You will independently conduct capital market analyses to assist other analysts and client advisors. Candidates need a master’s degree in economics, finance, computer science, physics, or a related field, along with a strong affinity for data. Proficiency in Python and SQL is essential, as is experience with Google Cloud Services. Familiarity with investment data providers such as Bloomberg or Morningstar is considered an advantage. The job demands excellent analytical skills, meticulous attention to detail, and a hands-on approach to problem-solving. Prior experience in capital markets, statistical modeling, or data analysis is desirable but not strictly required. The position is intended for German-speaking professionals who are comfortable working with complex financial datasets. The start date for this role is November 2026. The advert does not specify whether the work is remote, hybrid, or office-based, nor does it detail specific shift patterns. This opportunity suits individuals with a solid understanding of capital markets who are eager to build and improve quantitative tools within an investment context.