We are seeking exceptional Quantitative Researcher with hands-on machine learning experience to join a growing quantitative fund. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning the equities markets. This Machine Learning Researcher will be responsible for researching for alpha and converting the signals into trading strategies.
Job Responsibilities (include, but not limited to the following):
Apply advanced machine learning technologies to alpha research and strategy development
Work with experienced senior researchers to solve real-world complex problems
Stay abreast of cutting edge technologies in machine learning and spearhead research in finding uncorrelated alpha signals, minimizing risks, and optimizing portfolios
Advanced feature engineering on time series, corpuses, and other sequential datasets.
Working with technology teams to support machine-learning algorithms
Extensive experience in machine learning techniques such as deep learning, natural language processing, pattern recognition, artificial intelligence, neural networking (CNN/ANN), etc.
PhD graduate from a top university. Machine Learning concentration a plus
Publishing papers is a plus
Programming skills in any of the following languages: C/C++, Python