Requires three 3 years of experience with Applying statistical and Machine Learning techniques in the financial industry; Designing research approaches to investigate trends, patterns, and relationships using statistical methods including forecasting, linear and nonlinear models, time series, hypothesis testing, classification, clustering and regression analysis; Performing data extraction, cleaning, manipulation, analysis, presentation, and quality management to draw insights from large datasets; Writing SQL queries from scratch that blend data from various sources for modeling, analysis, and scoring; Presenting complex analytical results to technical and nontechnical audiences through data visualization; and Working with crossfunctional teams across global regions.br br Requires one 1 year of experience with Python scientific computing and analysis packages including NumPy, Pandas, SciPy, Scikitlearn, Matplotlib, Pyplot, or ggplot2; and Working with alternative data and unstructured data including Hive and Hadoop.

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