Alpha Researcher Job Description
Trexquant is an investment company founded in 2014. We manage a systematic hedge fund that uses statistical models to trade in markets all over the world. We apply machine learning algorithms on diverse sets of data features to develop Alphas that predict the short term price dynamics of stocks we trade.
Our firm has grown significantly in recent years. We have increased the breadth of markets in which we participate as well, the number of our data sources and amounts of data we use, and the complexity of our forecasting algorithms. We are looking to hire more talented Alpha Researchers who are interested in applying their technical ability toward development of trading signals.
Responsibilities:
- develop Alphas: market-neutral, medium-frequency signals that predict future stock returns
- parse data sets to be used for future alpha development
- optimize the framework for creating, backtesting, and productionizing Alphas
- investigate and implement recent academic research
- apply machine learning techniques to Alpha discovery and portfolio optimization
Desired qualifications:
- degree in a technical discipline (computer science / mathematics / statistics / etc.)
- experience applying statistical analysis on large data sets
- programming ability to translate ideas into python code
- knowledge of financial accounting is a plus
Offered benefits:
- competitive compensation with bonus tied to the performance of algorithms you develop
- work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas
To apply, please email your resume to cara.chen@trexquant.com. We will be happy to answer your questions at the same address.
Please mark as full-time Alpha researcher
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