Skills required Must have demonstrated quantitative knowledge including probability theory and algorithm optimization techniques such as dynamic programming. Must have demonstrated knowledge of quantitative data mining, pattern recognition techniques, including multivariate regression, timeseries analysis, SVM and neural networks. Must have demonstrated statistical knowledge, including statistical estimation, Monte Carlo methods, Bayesian techniques statistical inference, and data augmentation strategies. Must have demonstrated knowledge of financial statistics, including timeseries modeling and quantitative alpha modeling. Must have demonstrated knowledge of how to perform statistical data analysis and predictive machine learning modeling on large data sets. Must have demonstrated knowledge of how to implement the latest research findings in finance. Must have demonstrated knowledge of algorithm design in Python including the use of Numpy, Pandas. Must have demonstrated knowledge of the Linux Shell Script. Must have demonstrated knowledge of machine learning libraries like ScikitlearnTensorFlow or equivalent. Must have demonstrated knowledge of data visualization abilities using the MatplotlibSeaborn packages or equivalent. Must have demonstrated knowledge of version control using GIT or equivalent. Must have demonstrated knowledge of model validation techniques including crossvalidation. Must pass companys required skills assessment. Employer will accept any amount of experience gained prior to the completion of a Bachelors degree with the required skills.br br Addendum to G.1 Base salary 165,000 300,000year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401k contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.br br Continuation of Section H.10B acceptable alternate occupation Position does not require specific years of experience in an alternate occupation but requires experience with the skills listed in H.14.
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