Trexquant
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.

Trexquant Investment， 美国康州处于上升期的量化对冲基金，近两年收益为同行业上游水平，现在中国扩张Research团队。与同业相似基金相比更适合个人发展，扁平化管理，员工有渠道直接对话高层。注重个人分成。

Data Scientist
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 Alpha Researcher position at cara.chen@trexquant.com.

Offered benefits:
-Competitive compensation with opportunity for outstanding monetary success
-Work in a collaborative and friendly environment, participate in the decision-making process for research direction and have the opportunity to lead on new ideas
-10 days annual leave from the very first year.
-有竞争力的薪酬，并能获得根据策略提成的奖金（无上限）
-在合作友好的环境中工作，参与研究方向的决策过程，并有机会主导新的想法
-入职即有10天年假

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
-探索和学习广泛的数据集，用于研发自动化的量化交易信号和策略
-开发自动下载和监控各种数据来源的框架
-通过数据可视化来获取对原始数据的更深层理解并从中找寻规律
-研究和实施机器学习技术，以识别模式在大数据集和创造新的派生变量

Desired qualifications:
-A degree in a technical discipline (computer science / mathematics / statistics / others)
-Experience with statistical analysis and mining of large data sets
-Knowledge of Linux, Bash, Python, and SQL Database
-Ability to work independently and take projects to completion, ability to quickly learn about new systems, creative thinking and strong attention to detail is critical
-理工科(计算机科学/数学/统计/其他)的学位
-有统计分析和挖掘大数据集的经验
-熟悉Linux, Bash, Python和SQL数据库
-能够独立工作并完成项目，能够快速学习新系统，创造性思维和对细节的高度关注
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