- Early StageStartup in initial stages
Jobs at Tensor Technologies
Tensor Technologies builds next-generation trading strategies and software using applied machine learning algorithms and toolsets. We trade different asset classes on various electronic exchanges around the world. Our cutting-edge technology drives everything we do. High-performance algorithms and smart strategies allow our small team to efficiently scale across many markets globally. Our research is driven by big data and the resulting algorithms are run on high-performance hardware using in-house developed software. Our team strives to use the most appropriate tools for the tasks at hand, aiming to strike a balance between getting things done and long-term maintainability of the code base and supporting infrastructure. We are strong believers in the open source movement and keep close relationships with the important communities by actively contributing. This allows us to be competitive and at the forefront of the latest developments in soft- and hardware. We are based in the center of Switzerland where technological innovation is thriving thanks to the presence of many global tech companies and local start-ups, as well as the proximity to one of the best-rated technical universities in the world, the ETH Zurich. Our team is made up of highly driven and talented entrepreneurs, scientists, and engineers, with not only notable backgrounds from successful tech companies, startups, world-renowned research labs, top tier universities, and PhD programs, but also decades of experience in the algorithmic and low-latency trading space. We combine this experience with the collaborative, research-based approach from academia, thereby providing an extremely challenging and rewarding work environment that is fun and energizing. In order to grow, we need the best engineers to further develop, optimize and support our systems and tools. A career with Tensor Technologies is a chance to not only become an expert in the algorithmic trading industry but to shape its future.
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