Machine Learning Research Scientist

  • USD250000 - USD10000000 per annum
  • New York, NY, USA New York NY US
  • Permanent, Full time
  • Non-disclosed
  • 11 Jul 18 2018-07-11

Machine Learning Research Scientist

Machine Learning Research Scientist

Machine learning has left its footprint in the technology sector, having created innovative tools and applications that have improved the interactions between users and products. Now, in an ever competitive field, the quantitative finance space is turning its eyes to machine intelligence to stay a step ahead of the curve. Quantitative hedge funds and asset managers have begun building research teams spearheaded by some of the most talented and well known researchers in machine learning and artificial intelligence to create state of the art data analytic tools and trading AIs.

Our Clients are looking to experienced machine learning scientists to develop an AI models. The team will focus on using machine intelligence, natural language processing, and deep learning to create the necessary components for a AI dependent trading.

Some of the components include:

  • A data identification tool capable of determining the relevance of a particular data set or identifying appropriate information, including the development of but not limited to:

    • Algorithms for data mining and extraction. In particular, natural language understanding and processing of text, audio, and speech translation, and deep learning for image and video analysis

  • Self-learning simulator and environment based on trial and error learning as well as rote and generalization for

    • Analysis of extracted information

    • Statistical model development

    • Design of systematic trading strategy based on models

    • Back-testing of trading strategies using historical market data

  • Integration of AI into financial markets capable of implementing an identified strategy, taking it live, and managing day to day operations including risk exposure of portfolio based on preset criteria as well self-learned risk determinations

Other projects will include the development of machine learning tools for internal use such as chatbots for operational tasks with question/answering, virtual assistants to senior management, and other information retrieval and providing tools.

Qualifications

  • PhD in Computer Science from a top tier university

  • Experience in Natural Language Processing, Machine Learning, Data Mining/Extraction, Artificial Intelligence, or Deep Learning

  • Programming experience in Python and C++, C, or other object-oriented programming language

  • Signification contributions to research communities including published papers or conference presentations

  • At least 3 years of relevant work experience including industry experience at top technology giants as part of research teams