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