Обязанности:
Scope of work Design, test and implement trading algorithms that capitalize on market inefficiencies Research large datasets to uncover trading opportunities Use statistical and machine learning techniques to inform and enhance trading strategies Help colleagues to develop, augment and calibrate exchange simulatorCreate new research tools and contribute to existing libraries Work closely with developers, traders and other researchers to refine algorithms, improve system performance and deploy models in live trading environments Desirable Candidates Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree Excellent research, analytical and modeling skills Strong experience with Python Good experience with C++ Experience with development in a Linux environment Experience with statistical analysis, numerical programming, machine learning Bonus points Experience in quantitative trading Experience manipulating a large amount of data / tick data Experience dealing with machine learning models in productionПохожие вакансии