量化研究员

岗位： 量化研究员(实习/全职)

地点：上海市，中国，线下办公

关于我们：

上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。公司的策略团队多元化，包括海外头部对冲基金工作多年的行家里手，美国大学任教职后回归业界的学者派和国内外顶级学府毕业后在衍复成长起来的中坚派；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。

衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。

【 工作职责 】:

发掘历史数据规律，建立模型预测资产未来价格变化。

【 任职要求 】:

1.毕业于知名院校的数学、物理、经济学或计算机等相关专业；

2.有大规模人工智能项目经验，或行为金融学研究经历是加分项；

3.极强的编程实现能力；

4.注重团队合作。

衍复提供：

强竞争力的薪酬

新人的全方位培训

不设限的发展空间

About the job

Quantitative Researcher (Internship/Full-Time)

Location: Shanghai, China, on-site

About our team

YanFu is a quantitative hedge fund with a strong academic atmosphere and research orientation. We are committed to establishing an engineering culture and believe that a free and open culture can make excellent talents give full play to their creativity. Our founder has always been active in the front line of strategy development, training new members. State-of-the-art level skills of quantitative investments can be cultivated in YanFu.

We believe that a free and open culture allows talented people to be creative at their best. In the meantime, the company will regularly organize seminars to promote technical exchanges within the company and communication between different departments. We truly care about the needs and feelings of every employee, and hope team members can fully realize their career development potential in a friendly working environment.

【Job Responsibility】:

Explore the regular pattern of historical data and establish a model to predict the future price changes of assets.

【Requirements】:

1. Major in mathematics, physics, economics or computer science etc. from top universities;

2. Experience in large-scale artificial intelligence projects or research experience in behavioral finance is a plus;

3. Strong programming ability;

4. Team player.

【 Language Requirement 】:Mandarin Workable

What we offer:

Highly competitive salary package

Full training for new members

Unlimited development space