Data Scientist

Data Scientist 

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity markets all over the world. We develop and use machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. 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. 

As a member of the Data team at Trexquant, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data, and collaborating with the Alpha and Strategy Research team to build predictive machine learning models.If you are interested in working with a variety of interesting data at a growing systematic hedge fund, we invite you to apply for the Data Scientist position below

Responsibilities

  • Explore and learn about a wide range of data sets and data vendors that are used to develop signals for systematic quantitative strategies
  • Develop a framework to automatically download and monitor hundreds of data sources that are vital to our trading and research
  • Parse and backtest large data sets to gain insight and present findings to the team
  • Research and implement machine learning techniques to identify patterns in large data sets and create predictive models 

Desired qualifications

  • A degree in a technical discipline (computer science / mathematics / statistics / others)
  • Competency in Linux, Bash, Python, and SQL Database
  • Experience with statistical analysis and mining of large data sets
  • Ability to work independently and take projects to completion, ability to quickly learn about new systems, creative thinking and strong attention to detail are critical 

Offered benefits

  • Competitive compensation, with opportunity for outstanding monetary success
  • Work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas

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