Background in training, education, or experience must include background in statistical modeling concepts including time series analysis, regression, hypothesis testing, and Bayesian inferencing; good programming skills in C and Python; demonstrated proficiency in software development tools including Git, Bash, and SQL; demonstrated efficiency in usage of libraries and tools built for data science and analysis including NumPY, scikitlearn, Matplotlib, MKL, and BLAS. Any suitable combination of education, training, and experience is acceptable.br br Contd from H.10B Senior Quantitative Researcher, andor Quantitative Researcher, or in similar positions in financial quantitative research.
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