上海明汯投资深耕于量化金融投资领域,是一家兼具国际视野、精深研究、完备团队和丰富实战的量化投资机构。⽬前管理规模位于中国证券投资私募基⾦前列,是最大的量化投资公司之一。
公司核心团队成员90%以上来自国内外一流学府。我们始终坚持以人才积累和布局作为企业未来发展的重要使命,重视叠加团队的智慧,专注于培养并打造行业内协同性强,稳定性高,合作与竞争并存的团队。秉着“科学之精神,自由之思想”的企业愿景,我们追求用最科学的方法探索量化的无限可能。
岗位名称:
Quantitative Researcher: Machine Learning/Deep Learning (intern/full time)
量化研究员(深度学习)(实习/全职)
岗位职责:
- 运用机器学习或者深度学习方法来开发复杂的交易模型,构建严谨的算法评估体系,并形成我们对市场行为的洞察;
- 紧跟算法模型研究前沿,设计新的神经网络结构或者开发新的算法模型以适应金融数据,不断测试复杂的投资理念。
任职要求:
- 数理、统计学、计算机科学等机器学习相关专业本科及以上;
- 具有扎实的数理基础,熟悉机器学习和深度学习基础理论和算法,并有时间序列、自然语言处理、图像等某一细分领域的建模经验,具备创新研究能力;
- 编程能力出色,熟练掌握至少一种编程语言(C++、R、Python等),熟练掌握TensorFlow/PyTorch等机器学习语言;
- 有丰富的研究成果,在国际顶会或期刊发表相关论文(包括但不限于NIPS, ICML, CVPR, COLT);
- 在领域内知名比赛取得优异成绩者优先;
- 具有良好的逻辑思维、沟通协调能力和自我学习能力,主动负责,严谨细致,勤奋踏实。
Key Responsibilities
- Apply machine learning or deep learning methods to develop sophisticated prediction models and build rigorous evaluation systems;
- Keep up with the most recent developments in machine learning;
- Develop new neural networks and machine learning models to adapt to financial data.
Requirements:
- Bachelor’s /Master’s /PhD degree in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science, IEOR, or a related field from top universities;
- Solid math foundation, deep understanding of machine learning and deep learning, experience in applying machine learning to real-world data-sets, such as financial time series, natural language processing, image recognition and other areas;
- Advanced skills in at least one programming language (like C, C++, Java, or Python). Proficiency in machine learning frameworks, e.g. TensorFlow / PyTorch;
- Publications in related journals (e.g., NIPS, ICML, CVPR, COLT);
- Participants in Kaggle, KDD, Numerai are preferable;
- Fast learner with strong communication skills and logical thinking, strong sense of responsibility, and self-driven working habit;
- Proficiency in Mandarin is a plus.