DevOps Engineer (m/f/d)

We develop technological solutions for algorithmic trading and quantitative investing. Our mission is to merge data-driven research, advanced software engineering, and a deep understanding of global markets to build trading systems that analyze markets systematically, execute strategies automatically, and manage risk with precision. At the core of our approach lies a belief that performance in financial markets can be achieved through logic, mathematics, and technology — not speculation. Our proprietary systems are designed to identify repeatable market patterns, optimize execution, and adapt to changing conditions in real time. By combining quantitative models, machine learning, and high-performance computing, we transform complex data into actionable insights. Our teams operate at the intersection of FinTech, research, and applied mathematics, bridging the gap between academic rigor and practical implementation. We continuously refine our strategies through extensive backtesting, real-time validation, and iterative optimization. This ensures that every line of code and every model we deploy contributes directly to consistent, measurable performance — independent of market cycles or volatility. Investors and partners choose us because we make complex markets understandable, automate what others still do manually, and translate innovation into tangible results. Our culture is built on precision, transparency, and intellectual curiosity. We believe in systematic thinking, open collaboration, and a relentless pursuit of improvement — because in the world of quantitative finance, every detail counts.