Tensor Technologies is looking for an enthusiastic and passionate Trader with 3+ years of commercial experience in leveraging large datasets and Machine Learning techniques for high-
frequency-trading (HFT) strategy design. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-
performance hardware using software that is developed in-house.
Your main responsibilities :
Design and prototype algorithmic HFT strategies to trade in electronic financial markets, leveraging the latest technologies to efficiently scale across many markets globally
Research and prototype state-of-the-art Machine Learning models
Work with large data sets, including unconventional data sources, to predict and test statistical market patterns
Monitor the performance of the trading strategies and improve it further
3+ years of experience in researching, prototyping and running profitable algorithmic HFT strategies using Machine Learning, preferably on Futures
PhD degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent mathematical abilities
Excellent programming skills in Python
Excellent knowledge of Machine Learning models and techniques
Programming skills in Scala and Spark is a big plus
What we offer :
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed.
You will be able to challenge your coding and trading skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site .
We look forward to getting to know you!