明汯投资-热招岗位-量化研究员(深度学习)

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。前管理规模位于中国证券投资私募基前列,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:

  1. 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;
  2. 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:

  1. 数理、统计学、计算机科学等机器学习相关专业本科及以上;
  2. 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;
  3. 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;
  4. 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);
  5. 在领域内知名比赛取得优异成绩者优先;
  6. 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.