We are a deep tech pioneer, providing AI based, sustainable investment solutions to our customers. Building on the best practices of quantitative asset management, we tap the potential of machine learning for sustainable capital market investments.
Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics and neuroscience. Othoz is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe.
To date Othoz is one of the most important drivers for AI-based analyses and decision-making processes in asset management. Othoz has been founded in 2017, is headquartered in Berlin, Germany and is backed by leading international business angels and VCs.
As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, Docker, Kubernetes and continuous deployment to Google Cloud Platform).
At the core of your position is designing, implementing, training and evaluating state-of-the-art machine learning algorithms that accurately model financial markets. Your position also includes designing large-scale data pipelines, improving our stock market trading simulation, implementing innovative portfolio optimization concepts and everything else that pops up along the early days of a startup.
Like every other team member you enjoy taking full responsibility for transforming ideas into a rock-solid, well-engineered production system. Although a background in finance is not required you are eager to quickly learn essential concepts.