WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
CAMPUS EVENTS 校园活动行程:
- The Chinese University of Hong Kong 香港中文大学
5:00pm, October 14 | LT1, LG/F, Lee Sha Kee Building - Hong Kong University of Science and Technology 香港科技大学
6:30pm, October 17 | Room 2303, Lift 17 - 18, Academic Building - The University of Hong Kong 香港大学
to be updated - Peking University 北京大学
7:00pm, 10月22日 | 英杰交流中心第二会议室 - Tsinghua University 清华大学
to be updated - Fudan University 复旦大学
6:30pm, 10月29日 | 叶耀珍楼202,邯郸校区 - Shanghai Jiao Tong University 上海交通大学
6:00pm, 10月30日 | 学生中心C202,闵行校区 - The University of Science and Technology of China 中国科学技术大学
to be updated - Nanjing University 南京大学
6:30pm, 11月6日 | 费彝民楼B座201,鼓楼校区 - Zhejiang University 浙江大学
7:00pm, 11月7日 | 尧坤楼222报告厅(西区学生服务中心二楼),紫金港校区
THE ROLE 岗位职责:
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:
- 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 - Top performers during internship may be eligible for a full-time offer
优秀的实习生可能获得全职offer - Competitive internship compensation
有竞争力的实习薪资 - 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
If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com
如无法浏览在线申请网页或您有任何疑问,请将您的简历或问题发送至 WQChinaIntern@worldquant.com
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。
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.