Must have knowledge of the following quantitative skills building highfrequency algorithmic trading strategies using knowledge of market microstructure and market regulations; applying programming languages CC and Python to solve empirical datadriven tasks, such as designing and developing lowlatency, highperformance, robust, and scalable trading software; building predictive asset pricing models using statistical modeling and estimation techniques; research infrastructure skills, including Git version control, UnixLinux, Bash, and Google Cloud parallel computation framework; ability to set up, run, and interpret hypothesis tests in trading; and advanced algorithms and numerical analysis skills, including machine learning, causal inference, Bayesian inference, stochastic process modeling, and time series analysis.br Must also pass companys required skills assessment.br br NOTE br The acceptable majorsfields of study listed in H.4B and H.7A are Finance, Quantitative Finance, Business Administration, Mathematics, Statistics, Operations Research, Computer Science, or related quantitative field.
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