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.
待遇： 大于市场薪酬 + 收益提成

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

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

职位要求： 理工科背景 （数学，统计，计算机，物理等等）；有过在学术或实践框架下用量化模型分析数据的经历；Python编程基础扎实； 机器学习背景和经验额外加分； 应届生或有工作经验者皆可

工作地点：北京市朝阳区光华路1号嘉里中心北楼11层1128室
最低工资：20K+
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