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Quant Blueprint LLC in New York seeks a full-time undergraduate or master's student to rotate through algorithm-development teams researching automated trading strategies. You will analyze market and non-market datasets, and apply time-series methods and machine learning, building predictive models with Python/C++ infrastructure.
You should be fluent in Python and comfortable with tools such as NumPy, pandas, R or MATLAB, and you will develop strong communication skills while applying research
Rotate through algorithm-development teams researching automated trading strategies. Analyse market and non-market datasets, use machine learning and time-series methods, run large simulations and construct predictive models with Python/C++ infrastructure.
Full-time undergraduate or master's student in a quantitative subject. Python fluency and statistical, numerical or machine-learning tools such as NumPy, pandas, R or MATLAB. Strong communication and interest in applying research to financial markets.
Signing bonus, housing and meals are additional to weekly base pay.