DESCRIPTION:
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Financial Engineering, Mathematics, Statistics or related field of study plus 1 year of experience in the job offered or as Quantitative Research, Quantitative Researcher, or related occupation.
Skills Required: This position requires experience with the following: Building mathematical and statistical models to solve business problems in finance including portfolio construction and optimization, quantifying risk of portfolio using Barra Factor Model, running simulation and extracting signals from financial data to help decision making; applying machine learning techniques including Random Forest and XGBoost to build mathematical models in finance; Conducting feature engineering when building statistical models in finance; Conducting analytical research on equity and equity derivative instruments; software development using C++ and Python in various environments including Windows & Linux; Processing and analyzing big data using Python packages including numpy, pandas, scikit-learn, Keras & tensorflow; Relational database management system language including SQL; Stochastic Calculus and Derivative Pricing; Monte Carlo Simulation; Time Series Analysis including ARMA and GARCH; and Linear Programming Optimization.
Job Location: 383 Madison Ave. New York, NY 10017.
Full-Time. Salary: $200,000 - $200,000 per year.
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