Data Scientist

About Trexquant Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for scientists, engineers, economists, and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. 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. Responsibilities Explore and learn about a wide range of data sets 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 Create data visualizations to gain insight on large data sets, such as order-by-order tick data, present findings and results Research and implement machine learning techniques to identify patterns in large data sets and create new derived variables Requirements A degree in a technical discipline (computer science, mathematics, statistics, physics, etc.) Experience with statistical analysis and managing of large data sets Knowledge of Linux, Bash, Python, and SQL Database Ability to work independently and take projects to completion, quickly learn new systems, think creatively and pay attention to details 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