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Machine Learning Research Scientist

  • Job type: Permanent
  • Location: New York
  • Salary: $200000 - $800000 per annum
  • Job reference: MLRS
  • Sector: Banking and Finance, Asset Management, Buy Side, Data Science , Technology, Quantitative Finance, Research and Strategy, Selby Jennings
  • Date posted: 21/07/2017
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.

A client of ours recently appointed a senior staff researcher and multi-team head from one of the big 3 technology giants to lead their Artificial Intelligence Lab. This person is well renowned in the space of natural language understanding, deep learning, and machine intelligence.


At the highest level, this team will be tasked with developing an AI capable of unsupervised learning and independent, automated trading. The team will focus on using machine intelligence, natural language processing, and deep learning to create the necessary components for a human independent trading AI.

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 the portfolio based on preset criteria as well self-learned risk determinations

Our client is a multi-billion dollar asset manager in the heart of New York City. They are a nimble and lean organization with a work hard, play hard environment where employees are given full autonomy to set their own schedules. This newly formed AI lab will be the foundation for all future growth within the organization. The CEO has a made a multi-year and multi-million dollar commitment to develop machine learning in finance and become the industry leader in machine learning within finance.

The head of the group is looking to add 3-4 talented research scientists with applied experience in Machine Learning, Natural Language Processing, Deep Learning, and Artificial Intelligence. This role does not require any financial knowledge as it will work in conjunction with quantitative researchers who have the financial aptitude to address any questions the AI team may have.

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
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