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Deep Learning/AI Researcher

  • Job type: Permanent
  • Location: New York
  • Salary: $200000 - $300000 per annum
  • Job reference: 25336
  • Sector: Banking and Finance, Selby Jennings, Quantitative Finance
  • Date posted: 09/04/2018
Deep Learning/AI Researcher

A well-established prop trading firm with offices in NY and San Francisco is currently looking for a quantitative researcher to join the group. This is a unique opportunity within the financial sector where you will be able to use your strong machine learning background and quantitative skills to generate alpha, identify trading signals, lower transaction cost, will develop quantitative strategies, research tick, and apply deep learning or AI techniques.

This fund is an industry leader in total returns, cutting-edge technology, and growth. You will work alongside experts in various disciplines including seasoned traders, machine learning scientist, AI experts, portfolio managers, data scientist and algo executioners. The company currently puts a large emphasis on candidates with a strong understanding of machine learning and finance experience is not necessary and preferred. Much of the team is currently made up of past top Silicon Valley talent with no prior experience in trading.

Qualifications:
  • Masters or PhD in a quantitative field
  • Experience with large datasets
  • Experience in machine learning (specifically deep learning and AI)
  • Understanding of time series analysis and regression
  • Experience with coding and programming (exposure to C++ is a plus)
  • No finance experience required
Responsibilities
  • Oversee buildout of technology team and systematic HFT platform
  • Applied Machine Learning on tick data research
  • Signal research
  • Alpha generation
  • Ability to identify problems and issues and resolution of them
  • Lead team meetings and presentations
If interested please apply below!


 


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