公司名称: | 世坤咨询(北京)有限公司 | 公司性质: | 外资企业 |
公司规模: | 500~1000人 | 公司行业: | 金融业 |
职位性质: | 实习 | 职位类别: | 其他人员 |
学历要求: | 本科,博士,硕士 | 招聘人数: | 2 |
工作地点: | 北京市朝阳区 | ||
职位标签: |
WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.
Perform analysis and generate models of financial datasets using machine learning techniques 运用机器学习的方法分析并构建金融数据模型
Verify the integrity of unstructured data and turn data into potentially valuable insights 验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques 应用各种算法技术开发并构建可尝试预测金融市场波动的数据
WHAT WE OFFER 你将会获得:Competitive internship compensation 有竞争力的实习薪资
Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship 完善的导师培训机制、一对一师从资深从业者
Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices. 国际化视野,与WorldQuant 全球各地多个团队共事、交流
Flexibility of self-managed work progress, comfortable working environment, and rich employee activities 灵活自主安排工作进度,舒适的办公环境及丰富的员工活动
WHAT YOU'LL BRING 你需要具备:Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) 正在攻读相关领域的本科、硕士或博士学位(例如电子工程,物理,计算机科学,数学,金融工程, 大数据等)
Demonstrated ability of at least one programming language, e.g. C++, python, etc.;
familiar with systems like Linux/Unix 熟练掌握至少一种编程语言,如C++、python等;
熟悉Linux/Unix等操作系统
Research experience in NLP, Deep Learning is a plus 有自然语言处理、深度学习、人工智能等研究经验者优先
Good English reading and writing skills 良好的英语读写能力
投递链接: [申请查看]
id=[请申请后查看]
The position is based in our research office in Beijing or Shanghai . 预期工作地点为 北京 或 上海 的研究办公室。
WorldQuant成立于2007年,是一家量化资产管理公司,公司现有员工600余人,于13个国家和地区设有23个办公室。依托我们独有的研究平台及风险管理流程,研究员开发、配置应用于全球市场各类资产的系统化金融策略。 |
联系电话: | 公司传真: | ||
公司主页: | 招聘邮箱: | ||
公司地址: |
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