Beijing OR Shanghai · hace 3 años
Analizar conjuntos de datos financieros y construir modelos de aprendizaje automático para predecir movimientos del mercado financiero y extraer información valiosa de datos no estructurados. El puesto se ubica en la oficina de investigación de Pekín o Shanghái.
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. THE ROLE 岗位职责: WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. 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 compensation 有竞争力的薪资 • Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 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, rich employee activities, and generous employee benefits 灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利 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） • Candidates should be graduating in 2026 or 2027 候选人需于2026年或2027年毕业 • 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 WQBJQuantJobs@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 WQBJQuantJobs@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。 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. 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.
Publicada el 22 ago 2023
