Education and Experiencebr br Masters degree or foreign education equivalent in Statistics, Economics, Computational Finance, Engineering, Computer Science, Applied Mathematics, Mathematics, or a closely related field and four 4 years of experience in the job offered or four 4 years of experience performing data mining using nonparametric statistical techniques.br br Or, alternatively, a Doctorate of Philosophy PhD in Statistics, Economics, Computational Finance, Engineering, Computer Science, Applied Mathematics, Mathematics or a closely related field and one 1 year of experience in the job offered or one 1 year of experience performing data mining using nonparametric statistical techniques.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE performing advanced statistical analytics to develop, analyze, and evaluate supervised and unsupervised machine learning algorithms Regression, Decision TreesRandom Forest, Neural Networks, Feature SelectionReduction, Clustering, HyperParameter tuning, mixture modeling using Python, R, Tensorflow, and Pytorch with specific use cases on recommender systems within financial investment domain.br br DE performing data resample and clustering analysis using nonparametric statistical techniques bootstrapping and hierarchical clustering methods; and performing linear modelling logistic regression and gamma regression, generalized additive models, and mixture modeling using advanced statistical applications including, R, Python, Matlab, and ArcGIS.br br DE developing nonparametric statistical time series analysis, multiscale statistical signal processing, and probabilistic graphical modeling of financial data, using R and CVX an extension of Matlab software for convex programming.br br DE performing data process design, data randomization, model performance evaluation, and optimization, using Matlab, Python, and R.
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